The introduction of the joint image manifold allows to treat the problem of recovering camera motion and cpipolar geometry as the problem of fitting a manifold to the data measured in a stereo pair. The manifold has a singularity and boundary, therefore care must be taken when fitting it. This paper reviews the notion of joint image manifold, and how previous motion recovery methods can be viewed in its context, and then offers a new fitting method, which improves upon previous results, especially when the extent of the data and/or the motion are small.
|Number of pages||8|
|Journal||Proceedings of the IEEE International Conference on Computer Vision|
|State||Published - 2003|
|Event||NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION - Nice, France|
Duration: 13 Oct 2003 → 16 Oct 2003
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition