Name
Abstract | ||
|---|---|---|
This paper investigates the trifocal tensor for an affine trinocular rig and de- fines an affine trifocal tensor. The question of the degrees of freedom of the tensor entries will be addressed, and a novel algorithm to compute the tensor by a linear technique is presented. It will be shown that 4 point or 8 line correspondences along the three images are enough for a reliable computa- tion of the trifocal tensor in the affine case (uncalibrated, weak perspective camera model), in contrast to the projective case, where at least 7 point or 13 line correspondences are needed for a linear computation (and usually with poor results). An analysis of the error in the approximation of a generic trifocal tensor by the affine trifocal tensor is carried out and preliminary ex- periments with synthetic and real data show the reliability and robustness of the approximation under a wide range of conditions. |
Year | Venue | Keywords |
|---|---|---|
1998 | BMVC | degree of freedom |
Field | DocType | Citations |
Affine transformation,Computer vision,Tensor (intrinsic definition),Tensor,Computer science,Robustness (computer science),Artificial intelligence,Trifocal tensor,Computation | Conference | 8 |
PageRank | References | Authors |
0.52 | 14 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paulo R. S. Mendonça | 1 | 610 | 50.38 |
| Roberto Cipolla | 2 | 9413 | 827.88 |