Details of the Researcher

PHOTO

Shingo Kagami
Section
Unprecedented-scale Data Analytics Center
Job title
Professor
Degree

  • 博士（工学）（東京大学）

  • 修士（工学）（東京大学）

Research Interests 6

  • user interface

  • sensor network

  • high-speed projector

  • high-speed vision

  • real-time processing

  • sensory information processing

Research Areas 4

  • Informatics / Human interfaces and interactions /

  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering) / Measurement engineering /

  • Informatics / Intelligent robotics /

  • Informatics / Perceptual information processing /

Awards 8

  1. SI2015優秀講演賞

    2015/12/16　第16回公益社団法人計測自動制御学会システムインテグレーション部門講演会　ディンプル中心点の位置合わせを利用した高速回転ゴルフボールの画像計測

  2. SI2014優秀講演賞

    2014/12/17　第15回公益社団法人計測自動制御学会システムインテグレーション部門講演会　高速回転ゴルフボールの画像計測に関する基礎検討

  3. 石田記念財団研究奨励賞

    2011/12　財団法人石田記念財団

  4. 画像の認識・理解シンポジウム (MIRU2010) フロンティア論文賞

    2010/07　MIRU2010

  5. IEEE International Conference on Mechatronics and Automation (ICMA2009), Best Conference Paper Award

    2009/08　IEEE ICMA 2009

  6. Young Investigator Excellence Award

    2004/09/16　日本ロボット学会

  7. IP Award, LSI IP Design Award

    2002/05/19　LSI IPアワード委員会

  8. Incentive Award, IEEE Solid-State Circuits Society Japan Chapter

    2000/11/29　IEEE Solid-State Circuits Society Japan Chapter

Show all ︎Show 5

Papers 105

  1. Interactive Stickies: Low-latency projection mapping for dynamic interaction with projected images on a movable surface.

    Shingo Kagami, Koichi Hashimoto

    SIGGRAPH 2020: Special Interest Group on Computer Graphics and Interactive Techniques Conference　16-2　2020

    Publisher: ACM

    DOI： 10.1145/3388534.3407291 　

  2. Animated Stickies: Fast Video Projection Mapping onto a Markerless Plane through a Direct Closed-Loop Alignment. Peer-reviewed

    Shingo Kagami, Koichi Hashimoto

    IEEE Trans. Vis. Comput. Graph.　25　(11)　3094-3104　2019

    DOI： 10.1109/TVCG.2019.2932248 　

  3. A full-color single-chip-DLP projector with an embedded 2400-fps homography warping engine. Peer-reviewed

    Shingo Kagami, Koichi Hashimoto

    Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2018, Emerging Technologies, SIGGRAPH 2018, Vancouver, BC, Canada, August 12-16, 2018　1-2　2018

    Publisher: ACM

    DOI： 10.1145/3214907.3214927 　

  4. Sticky projection mapping: 450-fps tracking projection onto a moving planar surface. Peer-reviewed

    Shingo Kagami, Koichi Hashimoto

    SIGGRAPH Asia 2015 Emerging Technologies, SA 2015　23-3　2015

    Publisher: Association for Computing Machinery, Inc

    DOI： 10.1145/2818466.2818485 　

  5. Modeling and compensation of dynamic effects in camera-based position measurement. Peer-reviewed

    Edouard Laroche, Shingo Kagami, Loïc Cuvillon

    Robotics Auton. Syst.　62　(8)　1175-1186　2014

    DOI： 10.1016/j.robot.2014.04.003 　

    ISSN： 0921-8890

    eISSN： 1872-793X

  6. Identifying a moving object with an accelerometer in a camera view. Peer-reviewed

    Osamu Shigeta, Shingo Kagami, Koichi Hashimoto

    2008 IEEE/RSJ INTERNATIONAL CONFERENCE ON ROBOTS AND INTELLIGENT SYSTEMS, VOLS 1-3, CONFERENCE PROCEEDINGS　3872-3877　2008

    DOI： 10.1109/IROS.2008.4651201 　

  7. 3, 000-fps 3-D shape measurement using a high-speed camera-projector system. Peer-reviewed

    Joji Takei, Shingo Kagami, Koichi Hashimoto

    2007 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-9　3211-3216　2007

    DOI： 10.1109/IROS.2007.4399626 　

  8. VCS-IV: A real-time vision system using a digital vision chip Peer-reviewed

    Shingo Kagami, Takashi Komuro, Yoshihiro Watanabe, Masatoshi Ishikawa

    Electronics and Communications in Japan, Part II: Electronics (English translation of Denshi Tsushin Gakkai Ronbunshi)　89　(6)　34-43　2006/06

    DOI： 10.1002/ecjb.20269 　

    ISSN： 8756-663X

  9. A sensor selection method considering communication delays Peer-reviewed

    Shingo Kagami, Masatoshi Ishikawa

    Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)　89　(5)　21-31　2006/05

    DOI： 10.1002/ecjc.20211 　

    ISSN： 1042-0967

  10. A dynamically reconfigurable SIMD processor for a vision chip Peer-reviewed

    T Komuro, S Kagami, M Ishikawa

    IEEE JOURNAL OF SOLID-STATE CIRCUITS　39　(1)　265-268　2004/01

    DOI： 10.1109/JSSC.2003.820876 　

    ISSN： 0018-9200

    eISSN： 1558-173X

  11. Homography Estimation Using Marker Projection Control: A Case of Calibration-Free Projection Mapping

    Shingo Kagami, Koichi Hashimoto

    IFAC-PapersOnLine　56　(2)　2951-2956　2023/07/01

    DOI： 10.1016/j.ifacol.2023.10.1418 　

    eISSN： 2405-8963

  12. Calibration of a galvanometric laser scanner for line-art projection in a dynamic scene

    Matsumoto Daigo, Kagami Shingo, Hashimoto Koich

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)　2023　2A2-H26　2023

    Publisher: The Japan Society of Mechanical Engineers

    DOI： 10.1299/jsmermd.2023.2a2-h26 　

    eISSN： 2424-3124

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    Calibaration of a galvanometric scanner is important in providing distortion-free line-art projections. In particular, accurate projection in a dynamic scene requires an efficient backward model that maps a target projection point to voltages applied to the scanner. However, most of existing calibration methods offer forward models, which are difficult to invert efficiently. In this study, we investigate two types of simple backward models. Through experiments, we argue that the model representing the voltages by polynomials in terms of the light direction vector components achieves high projection accuracies for a wide range of target depths, despite the fact that it must introduce an approximate optical center.

  13. Evaluation of Perceptual Difference in Dynamic Projection Mapping with and without Movement of the Target Surface

    Shunya Fukuda, Shingo Kagami, Koichi Hashimoto

    Journal of Robotics and Mechatronics　34　(5)　1141-1151　2022/10

    DOI： 10.20965/jrm.2022.p1141 　

    ISSN： 0915-3942

    eISSN： 1883-8049

  14. MetamorHockey: A Projection-based Virtual Air Hockey Platform Featuring Transformable Mallet Shapes.

    Shun Ueda, Shingo Kagami, Koichi Hashimoto

    SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Emerging Technologies　7-4　2021

    Publisher: ACM

    DOI： 10.1145/3450550.3465341 　

  15. Vision-Based Finger Tapping Detection Without Fingertip Observation.

    Shotaro Narita, Shingo Kagami, Koichi Hashimoto

    Journal of Robotics and Mechatronics　33　(3)　484-493　2021

    DOI： 10.20965/jrm.2021.p0484 　

  16. A Low-Latency Display Method for Motion-Adaptive Projecton with a DMD Projector Peer-reviewed

    Oshiro Wakana, Kagami Shingo, Hashimoto Koichi

    Transactions of the Virtual Reality Society of Japan　25　(2)　108-116　2020

    Publisher: THE VIRTUAL REALITY SOCIETY OF JAPAN

    DOI： 10.18974/tvrsj.25.2_108 　

    ISSN： 1344-011X

    eISSN： 2423-9593

    More details Close

    Low-latency projection is a key technology for fast motion-adaptive projection. Digital Micromirror Devices (DMDs) are widely used for this purpose because they enable high frame rate projection of binary patterns, although additional techniques are needed to realize projection of multi-valued images. This paper proposes a low-latency projection method, Binary Frame Warping, with which displayed patterns are warped at the binary pattern rate instead of the video frame rate. Experimental results suggest that the proposed method applied to 60-fps video input offers perceived image quality comparable with that offered by over 500-fps projection.

  17. A Low-Latency Display Method for Motion-Adaptive Projecton with a DMD Projector

    大城和可菜, 鏡慎吾, 橋本浩一

    日本バーチャルリアリティ学会論文誌(Web)　25　(2)　2020

    ISSN： 2423-9593

  18. Perception of Motion-Adaptive Color Images Displayed by a High-Speed DMD Projector.

    Wakana Oshiro, Shingo Kagami, Koichi Hashimoto

    IEEE Conference on Virtual Reality and 3D User Interfaces(VR)　1790-1793　2019

    Publisher: IEEE

    DOI： 10.1109/VR.2019.8797850 　

  19. Puppeteered rain: interactive illusion of levitating water drops by position-dependent strobe projection.

    Shingo Kagami, Kotone Higuchi, Koichi Hashimoto

    Special Interest Group on Computer Graphics and Interactive Techniques Conference　48-2　2019

    Publisher: ACM

    DOI： 10.1145/3306214.3338603 　

  20. Basic Performance of Planar Omnidirectional Crawler during Direction Switching using Disturbance Degree of Ground Evaluation Method. Peer-reviewed

    Eri Takane, Kenjiro Tadakuma, Tori Shimizu, Sosuke Hayashi, Masahiro Watanabe, Shingo Kagami, Keiji Nagatani, Masashi Konyo, Satoshi Tadokoro

    IEEE International Conference on Intelligent Robots and Systems　2732-2739　2019

    Publisher: IEEE

    DOI： 10.1109/IROS40897.2019.8968507 　

    ISSN： 2153-0858

    eISSN： 2153-0866

  21. Vibration analysis for touch detection using a high speed camera

    Narita Shotaro, Kagami Shingo, Hashimoto Koichi

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)　2018　1P2-L17　2018

    Publisher: The Japan Society of Mechanical Engineers

    DOI： 10.1299/jsmermd.2018.1p2-l17 　

    eISSN： 2424-3124

    More details Close

    Recently projector and camera are miniaturized and improved, and it is expected that touch interaction with projection becomes more popular. Contrarily to existing methods using image information which require finding finger position itself in the images, we observe small vibration derived from touch using a high speed camera, and analyze the vibration to detect touch. Using machine learning techniques, we examine the presence or absence of touch from frequency components of the vibration.

  22. A Fast Homography-Warping Full-Color Projector

    KAGAMI Shingo, HASHIMOTO Koichi

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)　2018　2P2-I17　2018

    Publisher: The Japan Society of Mechanical Engineers

    DOI： 10.1299/jsmermd.2018.2p2-i17 　

    eISSN： 2424-3124

    More details Close

    One of key challenges in projection-based interaction systems is adaptability to quick real-world motion. High-frame-rate DLP (Digital Light Processing) projectors have been applied to enabling such objectives, but none of them presented detailed investigations on projection of color images. This paper describes a 24-bit full-color projector that achieves over 2400-fps motion adaptability to a fast moving planar surface using single-chip DLP technology, which will be useful for projection mapping applications in highly dynamic scenes. The fast motion adaptability is achieved by a hardware accelerated homography warping engine embedded within the projector. An efficient color encoding scheme into mirror switching and light source modulation sequences is employed to offer better light utilization while maintaining quick response to motion. The developed projector can be interfaced with a host PC via standard HDMI and USB without need of high computational burden.

  23. Fast Implementation of a Virtual-Projection-based Interaction System

    Otobe Narifumi, Kagami Shingo, Hashimoto Koichi

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)　2017　2A1-I09　2017

    Publisher: The Japan Society of Mechanical Engineers

    DOI： 10.1299/jsmermd.2017.2a1-i09 　

    eISSN： 2424-3124

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    In recent years, interaction techniques with a display system using a handheld device such as a smartphone employing handheld projection as a metaphor, referred to as Virtual Projection, have been explored. However, typical implementations of such systems consist of video-rate cameras and liquid crystal displays, preventing them from achieving high responsiveness to quick motion of the handheld devices. In the meanwhile, high-speed cameras and high-speed projectors are becoming available, which will be useful to overcome these limitations. Our goal is to develop a fast Virtual-Projection-based interaction system with a small latency between the device motion and the display response so that we can investigate the effect of the latency on the usability. In this paper, we investigate vision processing algorithms for a Virtual Projection system to minimize the latency.

  24. Lightning Markers: Synchronization-free Single-shot Detection of Imperceptible AR Markers Embedded in a High-Speed Video Display. Peer-reviewed

    Tsutomu Kusanagi, Shingo Kagami, Koichi Hashimoto

    IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2017 Adjunct, Nantes, France, October 9-13, 2017　229-234　2017

    DOI： 10.1109/ISMAR-Adjunct.2017.75 　

  25. Tracking of blended images with unknown mixing ratio

    GOTO Akifumi, KAGAMI Shingo, HASHIMOTO Koichi

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)　2016　2A1-19a1　2016

    Publisher: The Japan Society of Mechanical Engineers

    DOI： 10.1299/jsmermd.2016.2a1-19a1 　

    eISSN： 2424-3124

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    This paper describes a tracking method of blended images with unknown mixing ratio. We apply the Lucas-Kanade method to blended images to simultaneously estimate the warp and mixing ratio. Because its computational cost is too large for real-time tracking, we implement speeding-up techniques by partly adopting the inverse compositional approach. We implement speed up in reference to the Inverse compositional method. Experimental results of tracking images show effectiveness of the proposed method.

  26. A method of embedding imperceptible markers in a video for display-based mobile AR

    KUSANAGI Tsutomu, KAGAMI Shingo, HASHIMOTO Koichi

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)　2016　1A2-15a2　2016

    Publisher: The Japan Society of Mechanical Engineers

    DOI： 10.1299/jsmermd.2016.1a2-15a2 　

    eISSN： 2424-3124

    More details Close

    In this paper, we propose a method of embedding augmented reality (AR) markers in a displayed video so that they are imperceptible to human eyes. Using a high-speed projector, we display a set of markers that change their positions so fast that human eyes cannot perceive them, while a camera with a sufficiently short exposure time is able to detect at least one marker in the image even if there is no means of synchronization between the projector and the camera. Details of the marker design with experimental results are presented. A simple AR application using the proposed method is also presented.

  27. High-frame-rate region-based visual tracking on CPU: An implementation perspective. Peer-reviewed

    Shingo Kagami, Koichi Hashimoto

    2016 IEEE/SICE International Symposium on System Integration, SII 2016, Sapporo, Japan, December 13-15, 2016　562-567　2016

    DOI： 10.1109/SII.2016.7844058 　

    ISSN： 2474-2317

  28. Estimation of a large relative rotation between two images of a fast spinning marker-less golf ball. Peer-reviewed

    Yuta Imai, Shingo Kagami, Koichi Hashimoto

    2016 IEEE/SICE International Symposium on System Integration, SII 2016, Sapporo, Japan, December 13-15, 2016　556-561　2016

    Publisher: IEEE

    DOI： 10.1109/SII.2016.7844057 　

  29. Display tracking using blended images with unknown mixing ratio as a template. Peer-reviewed

    Akifumi Goto, Shingo Kagami, Koichi Hashimoto

    SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Technical Briefs　24-24　2016

    Publisher: ACM

    DOI： 10.1145/3005358.3005381 　

  30. Alignment of a flexible sheet object with position-based and image-based visual servoing. Peer-reviewed

    Shingo Kagami, Kotaro Omi, Koichi Hashimoto

    Adv. Robotics　30　(15)　965-978　2016

    DOI： 10.1080/01691864.2016.1183518 　

    ISSN： 0169-1864

    eISSN： 1568-5535

  31. Photo Billboarding: A Simple Method to Provide Clues that Relate Camera Views and a 2D Map for Mobile Pedestrian Navigation. Peer-reviewed

    Junta Watanabe, Shingo Kagami, Koichi Hashimoto

    2015 IEEE International Symposium on Mixed and Augmented Reality　210-211　2015

    DOI： 10.1109/ISMAR.2015.69 　

  32. Hit-to-scroll: a scroll interface utilizing impacting motions for a handheld projector. Peer-reviewed

    Keima Abe, Shingo Kagami, Koichi Hashimoto

    SIGGRAPH Asia 2014 Posters, SIGGRAPH ASIA 2014　16-16　2014

    Publisher: Association for Computing Machinery, Inc

    DOI： 10.1145/2668975.2669021 　

  33. Camera synchronization to imperceptible frames embedded in a displayed video sequence. Peer-reviewed

    Hidetaka Niidome, Shingo Kagami, Koichi Hashimoto

    SIGGRAPH Asia 2014 Posters, SIGGRAPH ASIA 2014　25-25　2014

    Publisher: Association for Computing Machinery, Inc

    DOI： 10.1145/2668975.2668997 　

  34. User Interface for E-learning Using Physical Objects on a Mobile Tablet with a Multi-touch Screen

    54　(1)　55-65　2013/01/15

    Publisher:

    ISSN： 1882-7764

  35. User Interface for E-learning Using Physical Objects on a Mobile Tablet with a Multi-touch Screen Peer-reviewed

    青木良輔, 青木良輔, 宮下広夢, 槙優一, 千明裕, 井原雅行, 小林透, 小林稔, 鏡慎吾

    情報処理学会論文誌ジャーナル(CD-ROM)　54　(1)　55-65　2013

    ISSN： 1882-7837

  36. Frame Synchronization of High-Speed Vision Sensors with Respect to Temporally Encoded Illumination in Highly Dynamic Environments. Peer-reviewed

    Lei Hou 0002, Shingo Kagami, Koichi Hashimoto

    Sensors　13　(4)　4102-4121　2013

    DOI： 10.3390/s130404102 　

    ISSN： 1424-8220

  37. High speed/accuracy visual servoing based on virtual visual servoing with stereo cameras. Peer-reviewed

    Takashi Nammoto, Koichi Hashimoto, Shingo Kagami, Kazuhiro Kosuge

    IEEE International Conference on Intelligent Robots and Systems　44-49　2013

    Publisher: IEEE

    DOI： 10.1109/IROS.2013.6696330 　

    ISSN： 2153-0858 2153-0866

  38. Assembly of Gear Components with Monocular Eye-to-Hand Visual Servoing Peer-reviewed

    Kenji Matsunaga, Shingo Kagami, Koichi Hashimoto

    43rd International Symposium on Robotics / Proceedings　2012/08

  39. Marker-less 6-DoF Pose Estimation of Industrial Wire-Harness Components from Shapes in 2-D Images Peer-reviewed

    Masaru Morita, Shingo Kagami, Koichi Hashimoto, Kazuhiro Kosuge

    43rd International Symposium on Robotics / Proceedings　2012/08

  40. A gesture recognition algorithm for vision-based unicursal gesture interfaces. Peer-reviewed

    Ryosuke Aoki, Bessie Chan, Masayuki Ihara, Toru Kobayashi, Minoru Kobayashi, Shingo Kagami

    EuroiTV'12 - Proceedings of the 10th European Conference on Interactive TV and Video　53-56　2012

    Publisher: ACM

    DOI： 10.1145/2325616.2325628 　

  41. 3D Object Pose Estimation from Binarized Images Peer-reviewed

    Shingo Kagami, Masaru Morita, Koichi Hashimoto

    2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE)　759-761　2012

  42. Localization and Tracking of an Accelerometer in a Camera View based on Feature Point Motion Analysis Peer-reviewed

    Yuichi Maki, Shingo Kagami, Koichi Hashimoto

    2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE)　293-294　2012

  43. Unicursal Gesture Interface for TV Remote with Touch Screens Peer-reviewed

    Ryosuke Aoki, Masayuki Ihara, Atsuhiko Maeda, Minoru Kobayashi, Shingo Kagami

    IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE 2011)　99-+　2011

    DOI： 10.1109/ICCE.2011.5722941 　

  44. Hybrid Kalman filter for improvement of camera-based position sensor. Peer-reviewed

    Edouard Laroche, Shingo Kagami, Loïc Cuvillon

    2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)　4405-4410　2011

    DOI： 10.1109/ICRA.2011.5980186 　

    ISSN： 1050-4729

  45. Expanding kinds of gestures for hierarchical menu selection by unicursal gesture interface. Peer-reviewed

    Ryosuke Aoki, Masayuki Ihara, Atsuhiko Maeda, Minoru Kobayashi, Shingo Kagami

    IEEE Trans. Consumer Electron.　57　(2)　731-737　2011

    DOI： 10.1109/TCE.2011.5955215 　

    ISSN： 0098-3063

  46. 3D Measurement Using a High-Speed Projector-Camera System with Application to Physical Interaction Games Peer-reviewed

    戸澗宏太, 鏡慎吾, 橋本浩一

    日本バーチャルリアリティ学会論文誌　16　(2)　251-260　2011

    DOI： 10.18974/tvrsj.16.2_251 　

    ISSN： 1344-011X

  47. Gesture Identification Based on Zone Entry and Axis Crossing. Peer-reviewed

    Ryosuke Aoki, Yutaka Karatsu, Masayuki Ihara, Atsuhiko Maeda, Minoru Kobayashi, Shingo Kagami

    HUMAN-COMPUTER INTERACTION: INTERACTION TECHNIQUES AND ENVIRONMENTS, PT II　6762　194-203　2011

    DOI： 10.1007/978-3-642-21605-3_22 　

    ISSN： 0302-9743

    eISSN： 1611-3349

  48. E-LEARNING TOOL USING PHYSICAL OBJECTS ON A MOBILE TABLET WITH CAPACITIVE MULTI-TOUCH SCREEN Peer-reviewed

    Ryosuke Aoki, Hiromu Miyashita, Masayuki Ihara, Hiroshi Chigira, Toru Kobayashi, Minoru Kobayashi, Shingo Kagami

    2011 4TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION (ICERI)　3485-3492　2011

  49. Experimental studies on prediction in air hockey games Peer-reviewed

    Yusuke Arai, Shingo Kagami, Koichi Hashimoto

    2011 IEEE/SICE International Symposium on System Integration, SII 2011　112-117　2011

    DOI： 10.1109/SII.2011.6147429 　

  50. Performance Evaluation of Illumination-based Synchronization of High-Speed Vision Sensors in Dynamic Scenes Peer-reviewed

    Lei Hou, Shingo Kagami, Koichi Hashimoto

    2010 International Conference on Advanced Mechatronics / Proceedings　2010　573-578　2010/10

    Publisher: The Japan Society of Mechanical Engineers

    DOI： 10.1007/978-3-642-16587-0_35 　

    ISSN： 1348-8961

    More details Close

    To acquire images of dynamic scenes from multiple points of view simultaneously, the acquisition time of vision sensors should be synchronized. In this paper, an advanced illumination-based synchronization algorithm derived from the phase-locked loop (PLL) algorithm is proposed and evaluated. To remove the dependency of system behavior on the fluctuant amplitude of illumination, which may be caused by moving objects or variational distance between illumination and objects, the negative feedback amount to the PLL system is normalized by the estimated maximum time correlation value between the output signal and its quadrature counterpart, to generate stable synchronization even in highly dynamic scenes. Both simulated results and real world experiments demonstrate successful synchronization. System performance is also analyzed to optimize the settings.

  51. A Signal Normalization Technique for Illumination-Based Synchronization of 1,000-fps Real-Time Vision Sensors in Dynamic Scenes Peer-reviewed

    Lei Hou, Shingo Kagami, Koichi Hashimoto

    SENSORS　10　(9)　8751-8771　2010/09

    ISSN： 1424-8220

    eISSN： 1424-8220

  52. Online 3-D trajectory estimation of a flying object from a monocular image sequence for catching Invited Peer-reviewed

    Rafael Herrejon Mendoza, Shingo Kagami, Koichi Hashimoto

    Visual Servoing　121-134　2010

  53. Illumination-Based Synchronization of High-Speed Vision Sensors. Peer-reviewed

    Lei Hou 0002, Shingo Kagami, Koichi Hashimoto

    Sensors　10　(6)　5530-5547　2010

    DOI： 10.3390/s100605530 　

    ISSN： 1424-8220

  54. A Signal Normalization Technique for Illumination-Based Synchronization of 1, 000-fps Real-Time Vision Sensors in Dynamic Scenes. Peer-reviewed

    Lei Hou 0002, Shingo Kagami, Koichi Hashimoto

    Sensors　10　(9)　8719-8739　2010

    DOI： 10.3390/s100908719 　

    ISSN： 1424-8220

  55. Real-Time Virtual Haptization of an Object Surface Measured by a High-Speed Projector-Camera System Peer-reviewed

    Kota Toma, Shingo Kagami, Koichi Hashimoto

    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010)　5067-5072　2010

    DOI： 10.1109/IROS.2010.5651631 　

    ISSN： 2153-0858

  56. Time-domain augmented reality based on locally adaptive video sampling. Peer-reviewed

    Tatsuro Orikasa, Shingo Kagami, Koichi Hashimoto

    9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010 - Proceedings　261-262　2010

    Publisher: IEEE Computer Society

    DOI： 10.1109/ISMAR.2010.5643597 　

  57. Range-finding projectors: Visualizing range information without sensors. Peer-reviewed

    Shingo Kagami

    9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010 - Proceedings　239-240　2010

    Publisher: IEEE Computer Society

    DOI： 10.1109/ISMAR.2010.5643586 　

  58. An Advanced Algorithm for Illumination-Based Synchronization of High-Speed Vision Sensors in Dynamic Scenes. Peer-reviewed

    Lei Hou 0002, Shingo Kagami, Koichi Hashimoto

    INTELLIGENT ROBOTICS AND APPLICATIONS, PT II　6425　378-389　2010

    DOI： 10.1007/978-3-642-16587-0_35 　

    ISSN： 0302-9743

  59. 3D measurement of a surface point using a high-speed projector-camera system for augmented reality games Peer-reviewed

    Kota Toma, Shingo Kagami, Koichi Hashimoto

    2010 IEEE/SICE International Symposium on System Integration: SI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings　84-89　2010

    DOI： 10.1109/SII.2010.5708306 　

  60. Frame indexing of the illumination-based synchronized high-speed vision sensors Peer-reviewed

    Lei Hou, Shingo Kagami, Koichi Hashimoto

    2010 IEEE/SICE International Symposium on System Integration: SI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings　1-6　2010

    DOI： 10.1109/SII.2010.5708292 　

  61. Accelerometer detection in a camera view based on feature point tracking Peer-reviewed

    Yuichi Maki, Shingo Kagami, Koichi Hashimoto

    2010 IEEE/SICE International Symposium on System Integration: SI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings　448-453　2010

    DOI： 10.1109/SII.2010.5708367 　

  62. Effects of Camera Calibration Errors on RLS Trajectory Estimation of a Spinning Flying Object Peer-reviewed

    Rafael Herrejon, Shingo Kagami, Koichi Hashimoto

    4th International Conference on Autonomous Robots and Agents / Proceedings　4199-4826　2009/02

  63. 1, 000-fps Visual Feedback Control of an Active Vision System over a High-Load Network. Peer-reviewed

    Shingo Kagami, Koichi Hashimoto

    IAPR 11th Conference on Machine Vision Applications / Proceedings　114-117　2009

  64. Development of an Automatic Dishwashing Robot System Peer-reviewed

    Kazuhiro Kosuge, Yasuhisa Hirata, Jina Lee, Akira Kawamura, Koichi Hashimoto, Shingo Kagami, Yu Hayashi, Norio Yokoshima, Hiroshi Miyazawa, Ryosuke Teranaka, Yasutoshi Natsuizaka, Kazuhisa Sakai, Mizuo Koizumi, Junji Koyama, Naoki Kanayama, Shunichi Tezuka, Hiroshi Torimitsu

    2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS　43-+　2009

    DOI： 10.1109/ICMA.2009.5245127 　

  65. Dynamical models for position measurement with global shutter and rolling shutter cameras. Peer-reviewed

    Edouard Laroche, Shingo Kagami

    2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS　5204-5209　2009

    DOI： 10.1109/IROS.2009.5354454 　

  66. Online 3-D trajectory estimation of a flying object from a monocular image sequence. Peer-reviewed

    Rafael Herrejon, Shingo Kagami, Koichi Hashimoto

    2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS　2496-2501　2009

    DOI： 10.1109/IROS.2009.5353936 　

  67. Position based visual servoing for catching a 3-D flying object using RLS trajectory estimation from a monocular image sequence. Peer-reviewed

    Rafael Herrejon, Shingo Kagami, Koichi Hashimoto

    2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2009), VOLS 1-4　665-670　2009

    DOI： 10.1109/ROBIO.2009.5420593 　

  68. Scalable vision graph estimation for a vision sensor network. Peer-reviewed

    Shin Kondo, Shingo Kagami, Koichi Hashimoto

    2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2009), VOLS 1-4　865-870　2009

    DOI： 10.1109/ROBIO.2009.5420559 　

  69. Composite visual servoing for catching a 3-D flying object using RLS trajectory estimation from a monocular image sequence. Peer-reviewed

    Rafael Herrejon, Shingo Kagami, Koichi Hashimoto

    IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION　526-531　2009

    DOI： 10.1109/CIRA.2009.5423229 　

  70. Real-Time Identification of a Moving Object with an Accelerometer in a Stationary Camera View

    Shigeta Osamu, Kagami Shingo, Hashimoto Koichi

    Proceedings of the Japan Joint Automatic Control Conference　51　248-248　2008

    Publisher: The Japan Joint Automatic Control Conference

    DOI： 10.11511/jacc.51.0.248.0 　

    More details Close

    This paper proposes a real-time method for identifying an object with an accelerometer out of many moving objects in the view of a camera using motion data obtained by the camera and the accelerometer. In order to evaluate the similarity of the motion data, Normalized Cross-Correlation is computed for the norms of the acceleration vectors, which were compensated for the gravitational acceleration component.

  71. Illumination-based real-time contactless synchronization of high-speed vision sensors. Peer-reviewed

    Lei Hou 0002, Shingo Kagami, Koichi Hashimoto

    2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-4　1750-1755　2008

    DOI： 10.1109/ROBIO.2009.4913266 　

  72. Trajectory Estimation of a Spinning Flying Object Using a High-Speed Vision Peer-reviewed

    Rafael Herrejon, Shingo Kagami, Koichi Hashimoto

    Robotics and Automation Conference / Proceedings　2007/03

  73. A High-Speed and Compact Vision System Suitable for Wearable Man-machine Interfaces. Peer-reviewed

    Takashi Komuro, Björn Werkmann, Takashi Komai, Masatoshi Ishikawa, Shingo Kagami

    IAPR 10th Conference on Machine Vision Applications / Proceedings　199-202　2007

  74. High-Speed Visual Tracking of the Nearest Point of an Object Using 1, 000-fps Adaptive Pattern Projection. Peer-reviewed

    Tomoyuki Tnoue, Shingo Kagami, Joji Takei, Koichi Hashimoto, Kenichi Yamamoto, Idaku Ishii

    2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8　3590-+　2007

    DOI： 10.1109/CVPR.2007.383476 　

    ISSN： 1063-6919

  75. A Bit-level Compiler for Massively Parallel Image Processors Peer-reviewed

    小室孝, 鏡慎吾, 石川正俊, 片山善夫

    情報処理学会論文誌　48　(SIG13(ACS19))　106-116　2007

    ISSN： 0387-5806

  76. A Networked High-Speed Vision System for 1, 000-FPS Visual Feature Communication. Peer-reviewed

    Shingo Kagami, Shoichiro Saito, Takashi Komuro, Masatoshi Ishikawa

    2007 FIRST ACM/IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS　95-100　2007

    DOI： 10.1109/ICDSC.2007.4357511 　

  77. A Dynamically Reconfigurable Architecture Combining Pixel-Level SIMD and Operation-Pipeline Modes for High Frame Rate Visual Processing. Peer-reviewed

    Nao Iwata, Shingo Kagami, Koichi Hashimoto

    ICFPT 2007: INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY, PROCEEDINGS　321-324　2007

    DOI： 10.1109/FPT.2007.4439276 　

  78. 超並列コプロセッサIPを用いたリコンフィギャラブル高速ビジョンシステムの構築と評価 (レター) Peer-reviewed

    渡辺 義浩, 小室 孝, 鏡 慎吾, 石川 正俊

    情報科学技術レターズ　5　25-28　2006/09

  79. Relationships between camera performance and control performance in visual control systems Peer-reviewed

    K. Watanabe, Y. Iwatani, K. Hashimoto, S. W. Kagami, Y. Minier

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13　335-+　2006

    DOI： 10.1109/SICE.2006.315115 　

  80. Multi-Target Tracking Using a Vision Chip and its Applications to Real-Time Visual Measurement. Peer-reviewed

    Yoshihiro Watanabe, Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa

    J. Robotics Mechatronics　17　(2)　121-129　2005

    DOI： 10.20965/jrm.2005.p0121 　

  81. A Sensor Selection Method Considering Communication Delays Peer-reviewed

    鏡慎吾, 石川正俊

    電子情報通信学会論文誌 A　J88-A　(5)　577-587　2005

    ISSN： 0913-5707

  82. Development of a Bit-Level Compiler for Massively Parallel Vision Chips. Peer-reviewed

    Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa, Yoshio Katayama

    CAMP 2005: SEVENTH INTERNATIONAL WORKSHOP ON COMPUTER ARCHITECTURE FOR MACHINE PERCEPTION , PROCEEDINGS　204-209　2005

    DOI： 10.1109/CAMP.2005.21 　

  83. Parallel Extraction Architecture for Image Moments of Numerous Objects. Peer-reviewed

    Yoshihiro Watanabe, Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa

    CAMP 2005: SEVENTH INTERNATIONAL WORKSHOP ON COMPUTER ARCHITECTURE FOR MACHINE PERCEPTION , PROCEEDINGS　105-110　2005

    DOI： 10.1109/CAMP.2005.38 　

  84. Parallel Extraction Architecture for Information of Numerous Particles in Real-Time Image Measurement. Peer-reviewed

    Yoshihiro Watanabe, Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa

    J. Robotics Mechatronics　17　(4)　420-427　2005

    DOI： 10.20965/jrm.2005.p0420 　

  85. Real-Time Shape Recognition Using a Pixel-Parallel Processor. Peer-reviewed

    Takashi Komuro, Yoshiki Senjo, Kiyohiro Sogen, Shingo Kagami, Masatoshi Ishikawa

    J. Robotics Mechatronics　17　(4)　410-419　2005

    DOI： 10.20965/jrm.2005.p0410 　

  86. A Pixel-Parallel Algorithm for Detecting and Tracking Fast-Moving Modulated Light Signals. Peer-reviewed

    Shingo Kagami, Masatsugu Shinmeimae, Takashi Komuro, Yoshihiro Watanabe, Masatoshi Ishikawa

    J. Robotics Mechatronics　17　(4)　387-394　2005

    DOI： 10.20965/jrm.2005.p0387 　

  87. VCS-IV: A Real-Time Vision System Using a Digital Vision Chip Peer-reviewed

    鏡慎吾, 小室孝, 渡辺義浩, 石川正俊

    電子情報通信学会論文誌 D-1　J88-D-1　(2)　134-142　2005

    ISSN： 0915-1915

  88. A High-speed Vision Chip and Robot Applications Peer-reviewed

    Takashi Komuro, Shingo Kagami, Akio Namiki, Masatoshi Ishikawa

    2004 1st IEEE Technical Exhibition Based Conference on Robotics and Automation / Proceedings　3-4　2004/11

  89. Improving the sensitivity of a vision chip using the software A-D conversion method Peer-reviewed

    D Takeuchi, S Kagami, T Komuro, M Ishikawa

    SENSORS AND CAMERA SYSTEMS FOR SCIENTIFIC, INDUSTRIAL, AND DIGITAL PHOTOGRAPHY APPLICATIONS V　5301　138-148　2004

    DOI： 10.1117/12.526319 　

    ISSN： 0277-786X

  90. A high-speed vision system with in-pixel programmable ADCs and PEs for real-time visual sensing

    S Kagami, T Komuro, M Ishikawa

    8TH IEEE INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL, PROCEEDINGS　439-443　2004

  91. A Sensor Selection Method Considering Communication Delays. Peer-reviewed

    Shingo Kagami, Masatoshi Ishikawa

    2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS　206-211　2004

    DOI： 10.1109/ROBOT.2004.1307152 　

    ISSN： 1050-4729

  92. Real-time visual measurements using high-speed vision Peer-reviewed

    Y Watanabe, T Komuro, S Kagami, M Ishikawa

    MACHINE VISION AND ITS OPTOMECHATRONIC APPLICATIONS　5603　234-242　2004

    DOI： 10.1117/12.571049 　

    ISSN： 0277-786X

  93. A Software-Controlled Pixel-Level A-D Conversion Method for Digital Vision Chips Peer-reviewed

    Shingo Kagami, Takashi Komuro, Masatoshi Ishikawa

    2003 IEEE Workshop on Charge-Coupled Devices and Advanced Image Sensors / Proceedings　2003/05

  94. A High Speed Digital Vision Chip with Multi-grained Parallel Processing Capability Peer-reviewed

    Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa

    2003 IEEE Workshop on Charge-Coupled Devices and Advanced Image Sensors / Proceedings　2003/05

  95. An advanced digital vision chip and its system implementation Peer-reviewed

    S Kagami, T Komuro, M Ishikawa

    SICE 2003 ANNUAL CONFERENCE, VOLS 1-3　1568-1571　2003

  96. Software A-D Conversion Method for Digital Vision Chips. Peer-reviewed

    鏡慎吾, 小室孝, 藤村英範, 石川正俊

    映像情報メディア学会誌　57　(3)　385-390　2003

    Publisher: Inst. of Image Information and Television Engineers

    DOI： 10.3169/itej.57.385 　

    ISSN： 1342-6907

  97. Multi Target Tracking Algorithm for a Vision Chip and Its Applications Peer-reviewed

    渡辺義浩, 小室孝, 鏡慎吾, 石川正俊

    電子情報通信学会論文誌 D-2　J86-D-2　(10)　1411-1419　2003

    ISSN： 0915-1923

  98. A Dynamically Reconfigurable SIMD Processor for a Vision Chip Peer-reviewed

    小室孝, 鏡慎吾, 石川正俊

    電子情報通信学会論文誌 D-2　J86-D-2　(11)　1575-1585　2003

    ISSN： 0915-1923

  99. Software A-D Conversion for Vision Chips and its Dynamic Control

    KAGAMI Shingo, KOMURO Takashi, ISHIKAWA Masatoshi

    ITE Technical Report　26　(42)　51-54　2002/06/21

    Publisher: The Institute of Image Information and Television Engineers

    DOI： 10.11485/itetr.26.42.0_51 　

    ISSN： 1342-6893

    More details Close

    A pixel-level A-D conversion method suited for digital vision chips is described. In this method, both of photo-detector-reading timings and input reference voltages are controlled by software in order to improve the sensitivity and at the same time to suppress the noises. An adaptive image sensing algorithm that dynamically controls the intensity response using this method is also described.

  100. Prototyping and sensitivity evaluation of high speed vision chip

    KOMURO Takashi, KAGAMI Shingo, ISHIKAWA Masatoshi

    ITE Technical Report　26　(41)　25-28　2002/06/20

    Publisher: The Institute of Image Information and Television Engineers

    DOI： 10.11485/itetr.26.41.0_25 　

    ISSN： 1342-6893

    More details Close

    A 64×64 pixels prototype of vision chip with general purpose function has been developed. The report including sensitivity evaluation will be described.

  101. A Real-Time Visual Processing System using a General-Purpose Vision Chip. Peer-reviewed

    Shingo Kagami, Takashi Komuro, Idaku Ishii, Masatoshi Ishikawa

    2002 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS　1229-1234　2002

    DOI： 10.1109/ROBOT.2002.1014711 　

  102. A new architecture of programmable digital vision chip Peer-reviewed

    T Komuro, S Kagami, M Ishikawa

    2002 SYMPOSIUM ON VLSI CIRCUITS, DIGEST OF TECHNICAL PAPERS　266-269　2002

  103. Development of a Vision Chip System for Real-Time Visual Processing. Peer-reviewed

    鏡慎吾, 小室孝, 石井抱, 石川正俊

    電子情報通信学会論文誌 D-2　J84-D-2　(6)　976-984　2001

    ISSN： 0915-1923

  104. Device and System Development of General Purpose Digital Vision Chip. Peer-reviewed

    Takashi Komuro, Shingo Kagami, Idaku Ishii, Masatoshi Ishikawa

    J. Robotics Mechatronics　12　(5)　515-520　2000

    DOI： 10.20965/jrm.2000.p0515 　

  105. Real-Time Object Tracking and 3D Reconstruction by Active Camera. Peer-reviewed

    出口光一郎, 鏡慎吾, 嵯峨智, 本谷秀堅

    計測自動制御学会論文集　35　(5)　675-683　1999

    DOI： 10.9746/sicetr1965.35.675 　

    ISSN： 0453-4654

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Misc. 11

  1. カメラパラメータの誤差を考慮したマニピュレータの動作計画

    柴山千冬, 鏡慎吾, 千葉直也, 橋本浩一

    日本ロボット学会学術講演会予稿集(CD-ROM)　41st　2023

  2. Low-Latency Interaction with Large Displays Using a Handheld High-Speed Projector

    2019　434-437　2019/09/13

    Publisher: 情報処理学会

  3. 投影型バーチャルエアホッケーにおける打突感提示のための視覚的刺激の検討

    島森, 洸, 鏡, 慎吾, 橋本, 浩一

    エンタテインメントコンピューティングシンポジウム2018論文集　2018　273-275　2018/09/06

    Publisher: 情報処理学会

    More details Close

    プロジェクタによる投影像として表示されるパックを物理的なマレットで打つバーチャルエアホッケーにおいて、より高い臨場感を得るための打突感提示方法について検討する。バイブレータによる振動やソレノイドによる撃力をマレット内で発生させる方法が考えられるが、そこにプロジェクタによる視覚刺激を加えることで、より高い打突感や指向性を付与できる可能性がある。本発表では、システム実装および適切な視覚刺激を設計するための評価実験について報告する。

  4. weAtheR: Ambient display of weather information with AR technology

    Narita, Shotaro, Kagami, Shingo, Hashimoto, Koichi

    2017　357-358　2017/09/09

    Publisher: 情報処理学会

  5. Dynamic Interaction with Projected Contents by a High-Speed Projector

    Kagami, Shingo, Hashimoto, Koichi

    2017　406-407　2017/09/09

    Publisher: 情報処理学会

  6. Fast Projection Mapping onto a Moving Planar Surface

    Shingo Kagami

    SPIE Newsroom　2016/04/18

  7. Utilizing OpenCV for High-Speed Vision Processing

    鏡慎吾

    日本ロボット学会誌　31　(3)　244-248　2013

    DOI： 10.7210/jrsj.31.244 　

    ISSN： 0289-1824

  8. High-speed vision systems and projectors for real-time perception of the world.

    Shingo Kagami

    2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010　100-107　2010

    Publisher: IEEE Computer Society

    DOI： 10.1109/CVPRW.2010.5543776 　

  9. BS-11-3 ON AUTOMATIC DETECTION OF AN ACCELEROMETER HOLDER IN A VIDEO SEQUENCE

    Kagami Shingo

    Proceedings of the Society Conference of IEICE　2009　(2)　"S-139"-"S-140"　2009/09/01

    Publisher: The Institute of Electronics, Information and Communication Engineers

  10. Destributed Real-Time Networks for Supporting Human Activity. High-Speed Motion Acquisition by Distributed Real-Time Sensing.

    鏡慎吾, 石川正俊

    情報処理　44　(1)　34-39　2003

    ISSN： 0447-8053

  11. 超並列ビジョンチップ開発は今…

    鏡 慎吾, 小室 孝, 石川 正俊

    エレクトロニクス　46　(3)　6-9　2001/03

    Publisher: オーム社

    ISSN： 0421-3513

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Books and Other Publications 4

  1. コンピュータ工学入門

    鏡 慎吾, 佐野 健太郎, 滝沢 寛之, 岡谷 貴之, 小林 広明

    コロナ社　2015/03/31

  2. 感覚デバイス開発, 機器が担うヒト感覚の生成・拡張・代替技術

    廣瀬 通孝 ほか

    エヌ・ティー・エス　2014/11/11

  3. Visual Servoing

    Rong-Fong Fung eds, Rafael Herrejon Mendoza, Shingo Kagami, Koichi Hashimoto

    InTech　2010/04

  4. 実用 精密位置決め技術事典

    精密位置決め技術事典, 編集委員会

    産業技術サービスセンター　2008/12

Industrial Property Rights 12

  1. ロボット制御装置、ロボット制御方法、ロボット制御プログラムおよびロボットシステム

    山口 如洋, 鏡 慎吾, 森田 賢, 橋本 浩一, 小菅 一弘

    特許第5948914号

    Property Type: Patent

  2. ロボット装置、画像生成装置、画像生成方法、および画像生成プログラム

    山口 如洋, 鏡 慎吾, 森田 賢, 橋本 浩一

    特許第5948913号

    Property Type: Patent

  3. ロボット装置およびロボット制御方法

    南本 高志, 鏡 慎吾, 松永 健嗣

    特許第5906769号

    Property Type: Patent

  4. ロボット制御装置、ロボット、ロボットシステムおよびロボット制御方法

    南本 高志, 山口 如洋, 鏡 慎吾, 松永 健嗣

    特許第5899958号

    Property Type: Patent

  5. ロボット、ロボット制御装置、ロボット制御方法、およびロボット制御プログラム

    山口 如洋, 鏡 慎吾, 森田 賢, 橋本 浩一

    特許第5834545号

    Property Type: Patent

  6. ロボット、位置検出装置、位置検出プログラム、および位置検出方法

    山口 如洋, 鏡 慎吾, 松永 健嗣, 橋本 浩一

    特許第5803124号

    Property Type: Patent

  7. ロボット装置、位置検出装置、位置検出プログラム、および位置検出方法

    山口 如洋, 南本 高志, 橋本 浩一, 鏡 慎吾

    特許第5803119号

    Property Type: Patent

  8. 視覚センサ同期装置および視覚センサ同期方法

    鏡 慎吾

    特許第5213045号

    Property Type: Patent

  9. 視覚情報処理装置及びその視覚情報処理方法

    石井 抱, 鏡 慎吾, 田嶋 健司, 沼田 暁彦, 山本 彰, 長瀬 朋彦

    特許第4913356号

    Property Type: Patent

  10. 視覚情報処理システム及びその視覚情報処理方法

    石井 抱, 鏡 慎吾, 田嶋 健司, 沼田 暁彦, 山本 彰, 長瀬 朋彦

    特許第4709571号

    Property Type: Patent

  11. 画像モーメントセンサ、画像モーメント計測装置、画像モーメントセンサの演算方法及び画像モーメント計測方法

    小室 孝, 鏡 慎吾, 石川 正俊

    特許第4565122号

    Property Type: Patent

  12. 半導体集積回路装置

    石川 正俊, 石井 抱, 小室 孝, 鏡 慎吾

    特許第3902741号

    Property Type: Patent

Show all Show first 5

Research Projects 15

  1. 身体運動に完全追従する低遅延拡張現実ディスプレイ

    鏡 慎吾

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 基盤研究(B)

    Institution: 東北大学

    2022/04/01 - 2026/03/31

  2. Development of X-logbot and Elucidation of Behavior Diagram using Sparse Modeling

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Transformative Research Areas (A)

    Institution: Tohoku University

    2021/09/10 - 2026/03/31

  3. 超低レイテンシ映像ディスプレイの研究

    鏡 慎吾

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 基盤研究(B)

    Category: 基盤研究(B)

    Institution: 東北大学

    2019/04/01 - 2022/03/31

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    本年度は、前年度に引き続きシステム全体および各種ユースケースについての要求仕様および必要機能の検討を進めるとともに，レーザ走査投影システム，映像制御システム，高速計測システムのそれぞれについて要素技術の実装および部分的評価を行った。 レーザ走査投影システムおよび映像制御システムについては、互いに密接に関連するものであることから前年度同様に一体として検討を進めた。前年度に着手した投影方式の開発を進め、一部機能のをFPGA上のロジックとしての実装とテストを完了した。高速計測システムについては、前年度実装した光学的アクティブ計測システムにこれまでより高フレームレートな高速カメラを導入し、20,000フレーム毎秒を超える濃淡縞パターン投影とその撮影による3次元計測計測が可能であることを確認した。ユースケース検討に関しては、前年度に着手した揺動するスクリーンへの投影を行うシステムについて、より定量的で再現性の高い実験を行うため、電動リニアステージ上で揺動をシミュレートするシステムを開発した。また、Digital Micromirror Device (DMD) を表示素子とする高速プロジェクタを用いて、ユーザが手に持つ紙面の模様と動きに応じて映像コンテンツが変化するプロジェクションマッピングシステムを開発するとともに、ユーザの素早い手の動きに追従するプロジェクション型バーチャルエアホッケーシステムを開発し、これらを利用するユーザのインタラクションについて検討を行った。

  4. System Identification of Bio-Navigation and Development of Innovative Logging Device

    Hashimoto Koichi

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

    Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

    Institution: Tohoku University

    2016/06/30 - 2021/03/31

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    Research was conducted to develop advanced small multidimensional data loggers to measure animal behavior and to analyze and understand the navigation data collected from the loggers. By developing Logbot (an AI logger equipped with GPS, camera, accelerometer, etc.), previously unknown behaviors were recorded, making it effective for behavior analysis. In addition, microphone-equipped, camera-integrated, camera-separated, and intervention stimulators were realized. Data acquisition continues with new animal species such as bears, dogs, and bats. Furthermore, predictive and analytical models of animal and human behavior have been developed, and results such as hierarchy and clustering of migratory behavior have been achieved.

  5. Multimodal Interaction Environment Based on High-Speed Projection

    Kagami Shingo

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

    Category: Grant-in-Aid for Scientific Research (B)

    Institution: Tohoku University

    2016/04/01 - 2019/03/31

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    This study investigated projection-based augmented reality environments that make use of high-speed optical projection to produce multimodal sensation and to enable multimodal detection. Namely, we developed an interactive projection mapping system for a fast moving surface, optical touch detection systems for remote surfaces, projection-based tactile augmentation, and a thermal-radiation-based haptic display utilizing a scanned laser beam.

  6. Feedback projection for 3D measurements under complex lighting conditions

    ARAI SHOGO, KAGAMI SHINGO

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Exploratory Research

    Category: Grant-in-Aid for Challenging Exploratory Research

    Institution: Tohoku University

    2016/04/01 - 2018/03/31

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    Active stereo methods can measure an object no matter with or without textures on its surface robustly against changes of light environment. The active stereo methods perform 3D measurement by projecting multiple pre-designed pattern lights on the object with a projector and capturing the reflected light with a camera. However, it is difficult for the existing active stereo methods to measure the objects with different optical properties with high accuracy and to perform 3D measurement robustly against changes from assumed optical characteristics. To solve this problem, we have proposed a novel method of 3D measurement with feedback projection. The proposed method computes the pattern lights dynamically based on the feedbacked images captured by the camera.

  7. Projector Camera Systems for Dense High-Speed 3D Measurement

    KAGAMI Shingo

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Exploratory Research

    Category: Grant-in-Aid for Challenging Exploratory Research

    Institution: Tohoku University

    2015/04/01 - 2018/03/31

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    Methods for high-frame-rate and high-density depth measurement have been developed. The proposed methodologies are based on phase shifting of fringe patterns, to which two types of novel acceleration methods are applied. The first is an optical system to generate fringe patterns at high speed using a Digital Micromirror Device (DMD), where binary patterns emitted by DMD are spatially integrated, which enables projection of fringe patterns at the rate of the DMD pattern rate. The second is a phase unwrapping method utilizing additive mixture of multiple fringe patterns which are decomposed by a signal processing technique, which enables phase unwrapping by projecting and measuring only four patterns.

  8. Development of optogenetics visual servo microscope

    Hashimoto Koichi, HIGASHITANI ATSUSHI, KAGAMI SHINGO, ARAI SHOGO

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)

    Category: Grant-in-Aid for Scientific Research (A)

    Institution: Tohoku University

    2013/05/31 - 2017/03/31

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    In this study, in order to analyze the brain function mainly by the sensory response behavior system, we simultaneously stimulated neuronal activities, developed an external stimulus according to the state, and developed a system to measure behavior. In particular, as the integration platform, we developed the world's first robot microscope "OSACaBeN" that automatically tracks moving observation objects at high speed to stimulate specific nerve cells by projection mapping, and the properties of multiple dopamine cells in nematodes during action are different from each other. Furthermore, regarding the smell response behavior of nematodes, we clarified the possibility of possessing brain functions common to humans and others, performing time-integrated information "decision making".

  9. Mobile User Interfaces using a High-Speed Projector-Camera System

    KAGAMI Shingo, HASHIMOTO Koichi, ARAI Shogo

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

    Category: Grant-in-Aid for Scientific Research (B)

    Institution: Tohoku University

    2011/04/01 - 2014/03/31

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    We have developed user interfaces for a mobile device equipped with a video projector. System development for stabilized projection by which the projected contents are fixed on a planar screen without being affected by the motion of the mobile device was carried out and user interfaces utilizing the motion of the mobile device while the projected contents are fixed on the screen. The results include namely a projector firmware to apply arbitrary homography transformations to the projected contents at 1300 frames/s, a pose and position estimation algorithm for a mobile projector-camera system exploiting geometric constraints between the system and the planar screen, and operation interfaces utilizing the pose and dynamic motion of a mobile device.

  10. 時間領域拡張現実感の研究

    鏡 慎吾

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 挑戦的萌芽研究

    Category: 挑戦的萌芽研究

    Institution: 東北大学

    2009 - 2010

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    本研究は,近年盛んになっている拡張現実感研究の新たなアプローチとして,時間領域で操作された映像を実映像に重畳表示する時間領域拡張現実感を提案することを目的とする.具体的には,高速度カメラ等により得られる肉眼では見ることのできない高時間分解能の視覚情報を,ユーザが知覚できるように時間スケールを変換しつつ,かつリアルタイムにユーザに提示するための技術の開発を行い,またその有用性を評価することを目的とする.平成22年度は,運動検出・情報提示アルゴリズムの改良を進め,リアルタイムに動作するデモンストレーションシステムの構築を行なうとともに,人間の作業支援へ時間領域拡張現実感システムを適用した場合の有効性について評価を行った. デモンストレーションシステムは,IEEE1394bカメラによって得られた320fpsの映像をリアルタイムに処理するものであり,通常はカメラで得られた映像をそのまま表示しているのに対し,高速に運動する物体が検出されたときのみ,その箇所を即座にスローモーション表示することを可能とした.人間の作業支援への適用と評価については,作業の例としてエアホッケーゲームを取り上げ,高速度カメラによって検出・予測されたパックの到達位置を視覚的に提示することにより,ゲームの成績が向上することが確認できた.この際,ゲームの目的遂行のために要求されるタスクの質が変化することが,ゲーム成績向上に貢献していることを示唆する結果を得た.

  11. センサ情報の直接インデックス化に基づく視覚センサネットワークの自律構成

    鏡 慎吾

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 萌芽研究

    Category: 萌芽研究

    Institution: 東北大学

    2007 - 2008

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    空間内に無作為に配置された多数の視覚センサが, それらの視野の隣接関係に基づく論理的なネットワークを自律的に構成するための基本技術を確立することを目指し, 複数の視覚センサ間で共通の対象を観測していることを検出し, そのセンサ間の対応づけを, ブロードキャストに頼らずに実現するための手法の検討を行った. 前年度は, 画像内のSIFT (Scale-Invariant Feature Transformation)特徴点の対応付けによる隣接関係推定を行う際に, その特徴量空間を分割することで対応付け処理の分散化を行う手法を提案した. 本年度はこの手法をより詳細に検討しその評価を行った. まず, 特徴量空間を分割する際に主成分分析によって低次元空間に射影してから格子状に分割することとし, その低次元空間の基底および分割境界を事前に学習する場合における学習画像と分割結果の関係について調べた. その結果, 屋内の画像や建物等の人工物を多く含む屋外の画像の場合は同一の学習画像による学習結果で十分な性能が得られることがわかった一方, 森林のようなシーンでは分割結果に偏りが生じるため, 別途の学習が必要なことがわかった. また, 特徴量空間の分割数やノード数をさまざまに変えて評価を行ったところ, 空間分割数を20前後にした場合が推定精度と通信負荷のトレードオフのバランスが最も良いことがわかった. ノード数の増加に対しても十分なスケーラビリティを有することがわかった. 実際の視覚センサを用いて視野の隣接関係を積極的に利用した協調システムに関しては, 共通の照明光によって照らされた領域を観測する視覚センサが自動的に同期することの可能なシステムを実現した.

  12. High-Speed Vision Networks interacting with Ubiquitous Computing Environments

    KAGAMI Shingo

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (A)

    Category: Grant-in-Aid for Young Scientists (A)

    Institution: Tohoku University

    2006 - 2008

  13. 1MHzのビジュアルフィードバックを可能とするビジョンセンサの開発

    小室 孝, 鏡 慎吾, 奥 寛雅, 石川 正俊, 並木 明夫

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 萌芽研究

    Category: 萌芽研究

    Institution: 東京大学

    2005 - 2006

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    本研究では1MHzのビジュアルフィードバックを可能とするビジョンセンサの開発を目的とする。本センサは、ウィルスのような極細生物の経常観察やマイクロ・ナノマシンの制御、燃焼等の化学現象の制御などに利用できると期待される。 上記目的の実現のため、平成18年度は、以下のように研究を進めた。 1.前年度に製作した32×32画素のビジョンセンサチップに配線ミスがあることが判明したので、修正版の設計を行い、仏CMPに提出し、製造を行った。 2.同センサは32×32の画素アレイのほか、可変長パイプラインの制御に必要な4段のFIFOを列毎に、またモーメントの計算に必要な座標パターン生成回路を設置している。受光部の面積は約1mm角であり、1/3インチ型の光学系で154×115画素搭載できる計算である。 3.製造したチップの動作確認を行うための評価ボードを作成した。現在、評価用のソフトウェアを作成中である。 4.センサの高感度化のため、Optoプロセスに関する調査を行い、PD回路の改良について検討を行った。

  14. Ultra-High-speed Sensory-Motor System Based on Distributed Network Architecture

    ISHIKAWA Masatoshi, NAMIKI Akio, KOMURO Takashi, OKU Hiromasa

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (S)

    Category: Grant-in-Aid for Scientific Research (S)

    Institution: The University of Tokyo

    2002 - 2006

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    The purpose of this study is to develop a recognition-behavior integration system which can act in a flexible manner at high-speed in the real environment. Using basic technologies, such as sensory-motor integration based on hierarchical parallel architecture, ultra-high-speed recognition and motion, and distributed network processing architecture, we have developed a high-speed realtime processing system in which a large number of sensors and actuators are connected based on distributed network architecture. 1.A high-speed vision network system with TCP/IP communication function. In order to track many targets which moves at high-speed in a wide area without occlusion, we have developed a distributed cooperative network system with multiple vision systems. 2.A distributed sensor network information processing algorithm. We have proposed a sensor fusion processing method called DTKF (Delay-Tolerant Kalman Filter). DTKF is a method using Kalman Filter, and it has a good scalability against the increase of the number of sensors. The proposed method was verified by a numerical simulation of a target tracking task of high-speed vision sensor. 3.A multi-high-speed visual feedback system. We have developed a multi-high-speed visual feedback system with multiple high-speed visions. By interpolating the lack of information using several vision systems, a 3D tracking of multiple targets which is robust against occlusion is achieved. Also, the improvement of a range of measurement and accuracy, and occlusion avoidance is achieved. 4.Sensory-motor fusion based on hierarchical parallel processing architecture In order to connect a large number of sensor systems and robot systems, we have developed a parallel distributed processing system in which realtime processing systems, robot systems, and sensor systems are integrated. In the system three realtime processing systems made by dSpace Inc, are connected to each other using the CAN bus, and two robot arms, three robot hands, three high-speed vision systems (six camera heads), and other sensors (tactile sensors, force sensors, and so on) are connected with high-speed IO ports.

  15. 実時間センサ情報処理システムの研究

    鏡 慎吾

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 特別研究員奨励費

    Category: 特別研究員奨励費

    Institution: 東京大学

    2002 - 2003

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    プログラマビリティを有するセンサノードの実現を目指し,SIMD型の超並列処理構造を持つ視覚センサであるビジョンチップを用いた実時間視覚処理システムの開発を行った.これは,研究代表者らが既に提案していたSIMDアレイ制御アーキテクチャに基づいて,最新のビジョンチップの構成に対して最適化されたシステムを,実際に開発したものである.本システムを用いることで,ビジョンチップの画素内の処理回路だけではなく,光検出器をもソフトウェアで制御することが可能となった.このようにして得られた視覚センシングにおけるプログラマビリティを積極的に利用して,入力光のアナログ-ディジタル変換の動作を制御して,任意の光検出特性を得るためのアルゴリズムを提案した.同アルゴリズムは,光検出器への参照電位入力と動作タイミングとの2者を同時に制御する点を特徴としており,実時間制約を考慮した最適なスケジューリングを行うことで,ノイズの影響を最小化することを可能としている.前述した視覚処理システムにこの手法を実装することで,同手法の有効性を実証した.また,このようにプログラマビリティを有するセンサを複数結合したセンサネットワークにおける,センサ情報処理アーキテクチャの基礎的検討を行った.ここでは,複数のセンサからネットワークを経由して到着するセンサ情報を,通信遅延の影響を明示的に考慮した形で評価することを目的とし,相互情報量を用いた定式化に基づくセンサ選択アルゴリズムを提案し,数値実験によりその有効性を確認した.

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