Abstract
This paper reports a visual system that recognizes 3D shapes of high speed moving objects. In this system, an active camera fixates a point on the moving object at the center of the image and tracks it. In this tracking, other object points than the fixation point move in the image field depending on their relative depths to the fixated point. Based on this fact, we are able to reconstruct 3D object shape from the tracking images. We developed a simple algorithm to realize this reconstruction for real time processing. We utilize the relation between spatial and temporal change of image with respect to the object depths. For our purpose, it is important to obtain object shape quickly even if it will be rough one. We constructed a system that does not need complex and difficult image processing.
Original language | English |
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Pages | 596-601 |
Number of pages | 6 |
Publication status | Published - 2000 Dec 1 |
Event | 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems - Takamatsu, Japan Duration: 2000 Oct 31 → 2000 Nov 5 |
Other
Other | 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems |
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Country/Territory | Japan |
City | Takamatsu |
Period | 00/10/31 → 00/11/5 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications