| Project/Area Number |
14350219
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Measurement engineering
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| Research Institution | Osaka University |
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Principal Investigator |
YAGI Yasushi Osaka University, The Institute of Scientific and Industrial Research, Professor, 産業科学研究所, 教授 (60231643)
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| Co-Investigator(Kenkyū-buntansha) |
SAGAWA Ryusuke Osaka University, The Institute of Scientific and Industrial Research, Research Associate, 産業科学研究所, 助手 (30362627)
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| Project Period (FY) |
2002 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥13,500,000 (Direct Cost: ¥13,500,000)
Fiscal Year 2004: ¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2003: ¥4,800,000 (Direct Cost: ¥4,800,000)
Fiscal Year 2002: ¥5,000,000 (Direct Cost: ¥5,000,000)
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| Keywords | Computer vision / Omnidirectional vision / mobile robot / Resolution distribution / Non-isotropic / Active contour / Visual navigation / センサ |
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| Research Abstract |
Conventional T.V. cameras are limited in their field of view. A real-time omnidirectional camera which can acquire an omnidirectional (360 degrees) field of view at video rate and which could be applied in a variety of fields, such as autonomous navigation, tele-presence, virtual reality and remote monitoring, is presented.
We have developed three different types of omnidirectional image sensors, and compounded omnidirectional vision system which consist of multiple convex mirrors and a single CCD camera. In this project, we developed several omnidirectional cameras and image processing techniques for these cameras
Results are as follow
Non-isotropic Omnidirectional Imaging System for an Autonomous Mobile Robot
Iconic Memory-Based Omnidirectional Route Panorama Navigation
Stereo Vision with a Single Camera and Multiple Mirrors
Compound Catadioptric Stereo Sensor for Omnidirectional Object Detection
Rolling and Swaying Motion Estimation for Mobile Robot by using Omnidirectional Optical Flows
Gait Volume : Spatio-Temporal Analysis of Walking
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