Multi-View Structure Computation Without Explicitly Estimating Motion

Abstract

Most existing structure-from-motion methods follow a common two-step scheme, where relative camera motions are estimated in the first step and 3D structure is computed afterward in the second step. This paper presents a novel scheme which bypasses the motion-estimation step, and goes directly to structure computation step. By introducing graph rigidity theory to Sfm problems, we demonstrate that such a scheme is not only theoretically possible, but also technically feasible and effective. We also derive a new convex relaxation technique (based on semi-definite programming) which implements the above scheme very efficiently. Our new method provides other benefits as well, such as that it offers a new way to looking at Sfm, and that it is naturally suited for handling sparse large-scale Sfm problems.

Cite

Text

Li. "Multi-View Structure Computation Without Explicitly Estimating Motion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5540005

Markdown

[Li. "Multi-View Structure Computation Without Explicitly Estimating Motion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/li2010cvpr-multi/) doi:10.1109/CVPR.2010.5540005

BibTeX

@inproceedings{li2010cvpr-multi,
  title     = {{Multi-View Structure Computation Without Explicitly Estimating Motion}},
  author    = {Li, Hongdong},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {2777-2784},
  doi       = {10.1109/CVPR.2010.5540005},
  url       = {https://mlanthology.org/cvpr/2010/li2010cvpr-multi/}
}