Abstract
Determining the image correspondences of scene points in two or more views remain elusive especially for large baselines and (or) rotations. Assuming a calibrated stereo rig, we propose two novel RANSAC-based algorithms to establish temporal correspondences of triplet and quadruplet matches in two stereo pairs robustly. We devise an efficient technique for the absolute orientation problem with minimum three matches [2]. This drastically reduces the number of random samplings, for a given probability of selecting no outlier in at least one set, compared to the application of the 7-/8-point algorithms [8, 6]. Within the general RANSAC paradigm, a low-cost selective random sampling scheme is incorporated to further enhance the robustness of the algorithm that utilizes quadruplet matches.
Original language | English (US) |
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Pages (from-to) | 52-55 |
Number of pages | 4 |
Journal | Proceedings - International Conference on Pattern Recognition |
Volume | 4 |
State | Published - Dec 20 2004 |
Event | Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom Duration: Aug 23 2004 → Aug 26 2004 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition