Name
Abstract | ||
|---|---|---|
In this paper, we consider a multi-camera vision system mounted on a moving object in a static three-dimensional environment. By using the motion flow fields seen by all of the cameras, an algorithm which does not need to solve the point-correspondence problem among the cameras is proposed to estimate the 3D ego-motion parameters of the moving object. Our experiments have shown that using multiple optical flow fields obtained from different cameras can be very helpful for ego-motion estimation |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/CVPR.1997.609365 | CVPR |
Keywords | Field | DocType |
motion flow field,ego-motion parameter,different camera,multiple optical flow fields,point-correspondence problem,moving object,motion estimation,image sequences,multiple optical flow field,motion flow fields,optical flow fields,computer vision,multi-camera vision system,static three-dimensional environment,multiple cameras,ego-motion estimation,vectors,three dimensional,information science,computer science,nonlinear optics,vision system,machine vision,optical flow | Stereo cameras,Computer vision,Machine vision,Computer science,Flow (psychology),Artificial intelligence,Motion estimation,Robot vision systems,Ego motion estimation,Optical flow | Conference |
Volume | Issue | ISSN |
1997 | 1 | 1063-6919 |
ISBN | Citations | PageRank |
0-8186-7822-4 | 9 | 1.00 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| An-Ting Tsao | 1 | 9 | 1.00 |
| Chiou-Shann Fuh | 2 | 647 | 56.08 |
| Yi-Ping Hung | 3 | 1743 | 168.25 |
| Yong-Sheng Chen | 4 | 314 | 30.12 |