Updated on 2024/06/06

写真a

 
YAMAZAWA Kazumasa
 
Organization
Faculty of Information Engineering Department of Computer Science and Engineering Professor
Title
Professor
Contact information
メールアドレス
External link

Degree

  • 博士(工学)

Research Interests

  • 画像処理

  • 画像認識

  • コンピュータビジョン

  • コンピュータグラフィックス

  • ヒューマンインターフェース

  • HCI

  • 複合現実感(Mixed Reality)

  • 拡張現実感(Augmented Reality)

  • 全方位カメラ

  • 移動ロボット

  • 拡張現実

  • 全方位画像センサ

  • 三次元ユーザインタフェース

  • バーチャルリアリティ

  • テレプレゼンス

  • コンピュータビジョン

  • HyperOmni Vision

  • 3次元表示

  • 3次元画像計測

  • 複合現実感

  • 画像メディア

Research Areas

  • Others / Others  / System engineering

  • Others / Others  / Intelligent mechanics/mechanical system

  • Others / Others  / Perception information processing/intelligent robotics

  • Others / Others  / Media informatics/data base

  • Others / Others

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Measurement engineering

  • Informatics / Intelligent informatics

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Education

  • Osaka University

  • Osaka University

Research History

  • Fukuoka Institute of Technology   Faculty of Information Engineering Department of Computer Science and Engineering   Professor

    2011.4

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    Country:Japan

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  • 2002年4月 奈良先端科学技術大学院大学 情報科学研究科 助教授

  • 2006~2007年 University of Central Florida, Visiting Researcher

  • 2007年4月 奈良先端科学技術大学院大学 情報科学研究科 准教授

  • 2011年4月 福岡工業大学 情報工学部 情報工学科 教授

  • 現在に至る.

  • 1996年4月 奈良先端科学技術大学院大学 情報科学研究科 助手

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Professional Memberships

  • Information Processing Society of Japan

    2003.1

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  • 電子情報通信学会

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  • 日本バーチャルリアリティ学会

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  • 電子情報通信学会

  • 情報処理学会

  • 日本バーチャルリアリティ学会

  • IEEE

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Papers

  • 4-6 Image Inpainting Considering Texture Transform and Similar Pattern Position

    Miyamoto Ryo, Kawai Norihiko, Yamazawa Kazumasa, Sato Tomokazu, Yokoya Naokazu

    PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION   2010   4 - 6-1   2010

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    Language:Japanese   Publisher:The Institute of Image Information and Television Engineers  

    Image inpainting techniques have been developed to remove undesired objects in an image. In conventional methods, unnatural textures are easily generated due to limited available samples in the image. This study extends texture patterns by geometric transform and preserves the texture continuity by similar pattern position analysis.

    DOI: 10.11485/itewac.2010.0_4_6

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  • 3-12 Issues of Projection-Based Remote Control System for Home Appliances

    TSUCHIYA Taiji, YAMAZAWA Kazumasa, YOKOYA Naokazu

    PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION   2010   3 - 12-1   2010

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    Language:Japanese   Publisher:The Institute of Image Information and Television Engineers  

    We propose a remote control system without handheld devices to operate home appliances. In this system, a control panel is displayed for a user by using a projector-and-camera-unit. This report describes our concept and the issues of realizing the proposed system.

    DOI: 10.11485/itewac.2010.0_3_12

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  • Omni-directional Video Telepresence Transformed by GPU

    Yamazawa Kazumasa

    Proceedings of the Japan Joint Automatic Control Conference   52   286 - 286   2009

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    Language:Japanese   Publisher:The Japan Joint Automatic Control Conference  

    This paper describes an omni-directional video telepresence system that present
    undistorted images using GPU. Conventional telepresence systems use spherical mesh and cylindrical
    mesh. The systems calculate corresponding points to just vertices of the mesh. Therefore,
    users often see significant distorted image. The proposed system calculates corresponding points to
    whole pixels on presented image using GPU. Therefore, the proposed system runs in video-frame,
    the CPU load is low, and the presented images are undistorted.

    DOI: 10.11511/jacc.52.0.286.0

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  • Association between duration of untreated psychosis, premorbid functioning, and cognitive performance and the outcome of first-episode schizophrenia in Japanese patients : prospective study

    山澤 涼子

    2008.12

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    Language:English   Publishing type:Doctoral thesis  

    博士論文

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  • Media Convergence Laboratory, University of Central Florida

    YAMAZAWA Kazumasa

    Systems, control and information   52 ( 3 )   110 - 111   2008.3

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    Language:Japanese   Publisher:Institute of Systems, Control and Information Engineers  

    DOI: 10.11509/isciesci.52.3_110

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  • Construction of extended geographical database based on photo shooting history Reviewed

    Kiyoko Iwasaki, Masayuki Kanbara, Kazumasa Yamazawa, Naokazu Yokoya

    CIVR 2008 - Proceedings of the International Conference on Content-based Image and Video Retrieval   185 - 194   2008

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:ACM  

    This study proposes an extended geographical database based on photo shooting history to enable the suggestion of candidate captions to newly shot photos. The extended geographical database consists of not only subject positions but also the likely shooting positions and directions estimated using the histories of the shooting positions and directions of the subjects. A user can add a caption to a photo by selecting an appropriate one from the candidate captions. The candidate captions are acquired using the shooting position and direction as a key to the extended geographical database. In this paper, we present the results of experiments for constructing the extended geographical database using a prototype system. Copyright 2008 ACM.

    DOI: 10.1145/1386352.1386381

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    Other Link: http://dblp.uni-trier.de/db/conf/civr/civr2008.html#conf/civr/IwasakiKYY08

  • 2002年PRMUアルゴリズムコンテスト 「砂嵐から立体を見つけ出そう」実施報告とその入賞アルゴリズムの紹介

    山澤 一誠, 浅井 俊弘, 牧田 孝嗣

    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報   102 ( 532 )   133 - 144   2002.12

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    Language:Japanese   Publisher:電子情報通信学会  

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  • Interactive Media-oriented Applications of an Omnidirectional Video Camera Reviewed

    Naokazu Yokoya, Kazumasa Yamazawa, Haruo Takemura

    Proceedings of the 5th Biannual World Automation Congress, Orlando, FL, USA, 2002   11 - 16   2002.7

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:TSI PRESS  

    Recently a number of catadioptric video-rate oninidirectional imaging sensors with 360-degree of horizontal view have been developed. Among those onmidirectional video cameras, ones which satisfy the single-viewpoint constraint are suitable for emerging interactive media-oriented applications, because perspective re-projection onto any display or screen sufaces can be computed from captured omnidirectional images. This paper describes some applications of onmidirectional video camera HyperOmni Vision to visual information media, especially focussing on our recent activities including telepresence, telerobotics, and video surveillance.

    DOI: 10.1109/WAC.2002.1049514

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  • Image-based construction of 3D virtual environments from a sequence of omnidirectional images Reviewed

    K Yamaguchi, K Yamazawa, H Takemura, N Yokoya

    IECON 2000: 26TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4   2565 - 2570   2000

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    This paper presents a new method for constructing a virtual environment from a real world scene, in which users can look around the scene with binocular stereoscopic sensation. The approach is based on generating novel views at arbitrary positions from a sequence of omnidirectional images in real time. A sequence of omnidirectional images is captured by a moving omnidirectional video camera with a known velocity in a static real environment. In the proposed method, a fixed length of the image sequence is temporarily buffered to generate arbitrarily directional binocular stereo images combining captured rays. Telepresence systems have been developed for showing the feasibility of the method, assuming the omnidirectional camera running along a straight line with a constant speed. Experiments have shown that a user can look around a remote scene in the distance from moving viewpoints with rich 3D sensation without significant time delay.

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  • Human Tracking by Using Three Omnidirectional Sensors

    Terazawa Masahiko, Yamazawa Kazumasa, Takemura Haruo, Yokoya Naokazu

    Proceedings of the Society Conference of IEICE   245   2000

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    Language:Japanese   Publisher:The Institute of Electronics, Information and Communication Engineers  

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  • Construction of an immersive mixed environment using an omnidirectional stereo image sensor Reviewed

    J Shimamura, N Yokoya, H Takemura, K Yamazawa

    IEEE WORKSHOP ON OMNIDIRECTIONAL VISION, PROCEEDINGS   62 - 69   2000

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE COMPUTER SOC  

    Recently virtual reality (VR) systems have been incorporating rich information available in the real world into VR environments in order to improve their reality. This stream has created the field of mixed reality which seamlessly integrates real and virtual worlds. This paper describes a novel approach to the construction of a mixed environment. The approach is based on capturing the dynamic real world by using a video-rate omnidirectional stereo image sensor. The mixed environment is constructed of two different types of models: (1) texture-mapped cylindrical 3-D model of dynamic real scenes and (2) 3-D computer graphics (CG) model. The cylindrical 3-D model is generated from full panoramic stereo images obtained by the omnidirectional sensor that uses a pair of hexagonal pyramidal mirrors and twelve CCD cameras. A prototype system has been developed to confirm the feasibility of the proposed method, in which panoramic binocular stereo images of the mixed environment are projected on a cylindrical immersive display depending on user's viewpoint in real time.

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  • Construction and presentation of a virtual environment using panoramic stereo images of a real scene and computer graphics models Reviewed

    J Shimamura, H Takemura, N Yokoya, K Yamazawa

    15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS   463 - 467   2000

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE COMPUTER SOC  

    The recent progress in computer graphics has made it possible to construct various virtual environments such as urban or natural scenes. This paper proposes a hybrid method to construct a realistic virtual environment containing an existing real scene. The proposed method combines two different types of 3-D models. 3-D geometric model is used to represent virtual objects in user's vicinity, enabling a user to handle virtual objects. Texture mapped cylindrical 2.5-D model of a real scene is used to render the back-ground of the environment, maintaining real-time rendering and increasing realistic sensation. Cylindrical 2.5-D model is generated from cylindrical stereo images captured by an omnidirectional stereo imaging sensor. A prototype mixed reality system has been developed to confirm the feasibility of the method, in which panoramic binocular stereo images are projected on a cylindrical immersive projective display depending on user's viewpoint in real time.

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  • 14th International Conference on Pattern Recognition (ICPR'98)

    YAMAZAWA Kazumasa

    Systems, control and information   43 ( 2 )   110 - 110   1999.2

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    Language:Japanese   Publisher:Institute of Systems, Control and Information Engineers  

    DOI: 10.11509/isciesci.43.2_110

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  • 6)全方位視覚センサを用いたサーベイランスと位置検出(ヒューマンインフォメーション研究会)

    三木隆太朗, 山澤一誠, 竹村治雄, 横矢直和

    映像情報メディア学会誌 : 映像情報メディア   52 ( 10 )   1449 - 1449   1998.10

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    Language:Japanese   Publisher:社団法人映像情報メディア学会  

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  • 14)Hyper Omni Visionによる全方位ステレオ視(〔情報ディスプレイ研究会 ヒューマンインフォメーション研究会 マルチメディア情報処理研究会 ネットワーク映像メディア研究会 画像情報システム研究会〕合同)

    茶園篤, 山澤一誠, 横矢直和, 竹村治雄

    映像情報メディア学会誌 : 映像情報メディア   51 ( 6 )   819 - 819   1997.6

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    Language:Japanese   Publisher:社団法人映像情報メディア学会  

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  • Omnidirectional Stereo Vision Using HyperOmni Vision

    CHAEN Atsushi, YAMAZAWA Kazumasa, YOKOYA Naokazu, TAKEMURA Haruo

    IEICE technical report. Image engineering   96 ( 507 )   99 - 106   1997.2

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    Language:Japanese   Publisher:The Institute of Electronics, Information and Communication Engineers  

    To recognize the whole three-dimensional environment, it is necessary to take images of real scenes in all directions and to obtain depth information from the two-dimensional images. In this report, we present an omnidirectional stereo method. Our method can detect disparities between two omnidirectional images. We first take two omnidirectional images at different heights using the omnidirectional sensor HyperOmni Vision, and then detect corresponding points between a pair of omnidirectional stereo images and obtain three-dimensional information. Experimental results show the feasibility of the proposed method with real omnidirectional images.

    DOI: 10.11485/itetr.21.6.0_99

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  • Acquisition of three-dimensional information using omnidirectional stereo vision Reviewed

    Atsushi Chaen, Kazumasa Yamazawa, Naokazu Yokoya, Haruo Takemura

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   1351   288 - 295   1997

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Springer Verlag  

    In this paper, an omnidirectional stereo method is presented. The method first takes a pair of omnidirectional images at different heights using the omnidirectional imaging sensor, HyperOmni Vision, and then detects corresponding points between the pair of images and finally obtains three-dimensional information of a 360-degree view around the sensor.

    DOI: 10.1007/3-540-63930-6_133

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MISC

Presentations

  • H-033 Posture Estimation from Bird's-eye View of Range Image Sensor

    TAKAHASHI Norihiro, YAMAZAWA Kazumasa, IKUMO Masahiro, NODA Masaru, YOKOYA Naokazu

    2007.8  Forum on Information Technology

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    Event date: 2007.8

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  • I_057 Improvement of Semi-automatic Location-based Photo Captioning Using Geographical Database

    IWASAKI Kiyoko, YAMAZAWA Kazumasa, YOKOYA Naokazu

    2006.8  Forum on Information Technology

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    Event date: 2006.8

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  • Real-Time Generation of Novel View of a Dynamic Scene Using Morphing and Visual Hull

    ISHIKAWA Tomoya, YAMAZAWA Kazumasa, YOKOYA Naokazu

    Technical report of IEICE. PRMU  2004.12  The Institute of Electronics, Information and Communication Engineers

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    Event date: 2004.12

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    Recently, generation of novel view images from images which were acquired by multiple cameras has been investigated. It can be applied to telepresence effectively. The conventional methods need assumptions such as the static scene and the limited position of the object within the positions of cameras. In this paper, we propose the method of generation of novel view images of a dynamic scene. The acquired images from omni-directional cameras are divided into static regions and dynamic regions. The novel view images are generated by morphing of static regions and by visual hull of dynamic regions in real-time. In the experiment, we show that the implemented system can generate novel view images in real-time from live video streams.

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  • I-055 Generation of Novel Viewpoint Images Using View Morphing and Visual Hull

    Ishikawa Tomoya, Yamazawa Kazumasa, Yokoya Naokazu

    2004.8  Forum on Information Technology

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    Event date: 2004.8

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  • D-017 Indexing of Photo and Video Contents Using Shooting Position and Web Retrieval

    IWASAKI Kiyoko, YAMAZAWA Kazumasa, YOKOYA Naokazu

    2004.8  Forum on Information Technology

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    Event date: 2004.8

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  • I-058 Remote Control of a Networked Mobile Robot Using a Treadmill and a Immersive Display

    Tawada Masaki, Yamazawa Kazumasa, Yokoya Naokazu

    2004.8  Forum on Information Technology

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    Event date: 2004.8

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  • D-12-160 Telepresence System Using Web Browsers and Omnidirectional Video Streams

    Ishikawa Tomoya, Yamazawa Kazumasa, Ikeda Sei, Yokoya Naokazu

    Proceedings of the IEICE General Conference  2004.3  The Institute of Electronics, Information and Communication Engineers

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    Event date: 2004.3

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  • I-38 A Networked Remote Surveillance System Using Omnidirectional Image Sensors

    Morita Shinji, Yamazawa Kazumasa, Yokoya Naokazu

    2002.9  Forum on Information Technology

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    Event date: 2002.9

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  • CT2-1 PRMU Algorithm Contest

    Yamazawa Kazumasa

    2002.9  Forum on Information Technology

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    Event date: 2002.9

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  • I-5 Networked Telepresence with an Omnidirectional HD camera

    Eto Masahiko, Yamazawa Kazumasa, Yokoya Naokazu

    2002.9  Forum on Information Technology

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    Event date: 2002.9

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  • Various implementations of telepresence with an omnidirectional image sensor

    Yamazawa Kazumasa, Takemura Haruo, Yokoya Naokazu

    Proceedings of the Society Conference of IEICE  2001.8  The Institute of Electronics, Information and Communication Engineers

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    Event date: 2001.8

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  • Event Detection with a High-resolution Omnidirectional Sensor

    Ichikawa Toru, Yamazawa Kazumasa, Takemura Haruo, Yokoya Naokazu

    Proceedings of the Society Conference of IEICE  2000.9  The Institute of Electronics, Information and Communication Engineers

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    Event date: 2000.9

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  • Human Tracking by Using Three Omnidirectional Sensors

    Terazawa Masahiko, Yamazawa Kazumasa, Takemura Haruo, Yokoya Naokazu

    Proceedings of the Society Conference of IEICE  2000.9  The Institute of Electronics, Information and Communication Engineers

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    Event date: 2000.9

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  • Presentation of Omnidirectional Images for Teleoperation of a Mobile Robot

    Yoneda Misato, Yamazawa Kazumasa, Yakemura Haruo, Yokoya Naokazu

    Proceedings of the Society Conference of IEICE  2000.9  The Institute of Electronics, Information and Communication Engineers

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    Event date: 2000.9

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  • Reconstruction of Outdoor Environmental Model from Multiple Partial 3-D Models Obtained by Binocular Stereo with Gyro Sensor and GPS

    MATSUKAWA Masahiro, KANBARA Masayuki, YAMAZAWA Kazumasa, TAKEMURA Haruo, YOKOYA Naokazu

    IEICE technical report. Natural language understanding and models of communication  2000.3  The Institute of Electronics, Information and Communication Engineers

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    Event date: 2000.3

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    Recently, there is an increasing demand for virtualizing an outdoor real environment. However, such a task usually requires lots of manual operations to determine correspondences among multiple images. In this paper, a method for automatic reconstruction of an outdoor environment is proposed. The method uses a GPS(global positioning system)receiver and gyro sensor to measure an exact location and orientation of a camera for image acquisition. By using these location and orientation data, stereo images, of an outdoor environment are rectified for stereo measurement. Then the method merges multiple partial models of an outdoor environment to construct an entire 3-D model. In this process, the proximity constraint is imposed on adjoining faces to compensate for errors caused by the multiple stereo measurements.

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  • Generating 3D-models of a real environment using omnidirectional image sensors

    1999.9 

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    Event date: 1999.9

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  • Generation of Arbitrarily Directional Binocular Stereo Images from a Sequence of Omnidirectional Images

    1999.9 

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    Event date: 1999.9

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  • A New Factorization Method Based on 3D Linear Combination for Shape and Motion Recovery

    1997.9 

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    Event date: 1997.9

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  • Real-time Viewpoint Dependent Image Display from HyperOmni Vision

    Onoe Yoshio, Yamazawa Kazumasa, Yokoya Naokazu, Takemura Haruo

    Proceedings of the IEICE General Conference  1997.3  The Institute of Electronics, Information and Communication Engineers

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    Event date: 1997.3

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  • Binocular Stereo for HyperOmni Vision

    CHAEN Atsushi, YAMAZAWA Kazumasa, TAKEMURA Haruo, YOKOYA Naokazu

    Proceedings of the Society Conference of IEICE  1996.9  The Institute of Electronics, Information and Communication Engineers

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    Event date: 1996.9

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Teaching Experience (On-campus)

  • 2023   Seminar on Fundamentals of Computer

  • 2023   Fundamentals of Artificial Intelligence

  • 2023   Computer Graphics

  • 2023   Project-Based Training I

  • 2023   Artificial Intelligence Programming

  • 2023   Project-Based Training II

  • 2023   Image Information Processing

  • 2023   Experiments of Computer Science and

  • 2023   Special Lectures in Computer Science and

  • 2023   Graduation Study

  • 2022   Seminar on Fundamentals of Computer

  • 2022   Fundamentals of Artificial Intelligence

  • 2022   Computer Graphics

  • 2022   Project-Based Training I

  • 2022   Artificial Intelligence Programming

  • 2022   Special Lectures in Computer Science and

  • 2022   Image Information Processing

  • 2022   Experiments of Computer Science and

  • 2022   Graduation Study

  • 2021   Seminar on Fundamentals of Computer

  • 2021   Fundamentals of Artificial Intelligence

  • 2021   Computer Graphics

  • 2021   Project-Based Training I

  • 2021   Artificial Intelligence Programming

  • 2021   Experiments of Computer Science and

  • 2021   Pattern Recognition

  • 2021   Project-Based Training II

  • 2021   Image Information Processing

  • 2021   Graduation Study

  • 2020   Seminar on Fundamentals of Computer

  • 2020   Fundamentals of Artificial Intelligence

  • 2020   Computer Graphics

  • 2020   Project-Based Training I

  • 2020   Artificial Intelligence Programming

  • 2020   Image Information Processing

  • 2020   Experiments of Computer Science and

  • 2020   Pattern Recognition

  • 2020   Graduation Study

  • 2019   Seminar on Fundamentals of Computer

  • 2019   Fundamentals of Artificial Intelligence

  • 2019   Computer Graphics

  • 2019   Project-Based Training I

  • 2019   Artificial Intelligence Programming

  • 2019   Experiments of Computer Science and

  • 2019   Special Lectures in Computer Science and

  • 2019   Image Information Processing

  • 2019   Pattern Recognition

  • 2019   Graduation Study

  • 2018   Fundamentals of Artificial Intelligence

  • 2018   Seminar on Fundamentals of Computer

  • 2018   Computer Graphics

  • 2018   Project-Based Training I

  • 2018   Artificial Intelligence Programming

  • 2018   Experiments of Computer Science and

  • 2018   Special Lectures in Computer Science and

  • 2018   Image Information Processing

  • 2018   Project-Based Training II

  • 2018   Pattern Recognition

  • 2018   Graduation Study

  • 2017   Seminar on Fundamentals of Computer

  • 2017   Fundamentals of Artificial Intelligence

  • 2017   Computer Graphics

  • 2017   Project-Based Training I

  • 2017   Artificial Intelligence Programming

  • 2017   Image Information Processing

  • 2017   Experiments of Computer Science and

  • 2017   Graduation Study

  • 2016   Seminar on Fundamentals of Computer

  • 2016   Fundamentals of Artificial Intelligence

  • 2016   Computer Graphics

  • 2016   Artificial Intelligence Programming

  • 2016   Experiments of Computer Science and

  • 2016   Special Lectures in Computer Science and

  • 2016   Image Information Processing

  • 2016   Graduation Study

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