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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Robert, L. Faugeras, O.D. |
| Copyright Year | 1991 |
| Description | Author affiliation: INRIA Sophia-Antipolis, Valbonne, France (Robert, L.; Faugeras, O.D.) |
| Abstract | An edge-based trinocular stereovision algorithm is presented. The primitives it works on are cubic B-spline approximations of the 2-D edges. This allows one to deal conveniently with curvature and to extend to some nonpolyhedral scenes to previous stereo algorithms. To build a matching primitive, the principle of the algorithm is, first, to find a triplet of corresponding points on three splines. This is provided by the bootstrapping part. Second, the algorithm propagates along the three supporting splines to find other matching points. This provides a set of ordered point triplets along these three splines, for which all the matching constraints are verified. This primitive constitutes a trinocular hypothesis. The set of all hypotheses is obtained by propagating from all the point triplets provided by the bootstrapping process. A criterion based on the size of the hypotheses is then used to choose among them a compatible set with respect to the uniqueness constraint. Results of several 3-D reconstructed scenes are shown.< |
| Starting Page | 57 |
| Ending Page | 62 |
| File Size | 509692 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818621486 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1991.139661 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-06-03 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Layout Spline Image reconstruction Stereo image processing Retina |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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