A Simple Prior-Free Method for Non-Rigid Structure-from-Motion Factorization

Abstract

This paper proposes a simple prior-free method for solving non-rigid structure-from-motion factorization problems. Other than using the basic low-rank condition, our method does not assume any extra prior knowledge about the nonrigid scene or about the camera motions. Yet, it runs reliably, produces optimal result, and does not suffer from the inherent basis-ambiguity issue which plagued many conventional nonrigid factorization techniques. Our method is easy to implement, which involves solving no more than an SDP (semi-definite programming) of small and fixed size, a linear Least-Squares or trace-norm minimization. Extensive experiments have demonstrated that it outperforms most of the existing linear methods of nonrigid factorization. This paper offers not only new theoretical insight, but also a practical, everyday solution, to non-rigid structure-from-motion.

Cite

Text

Dai et al. "A Simple Prior-Free Method for Non-Rigid Structure-from-Motion Factorization." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6247905

Markdown

[Dai et al. "A Simple Prior-Free Method for Non-Rigid Structure-from-Motion Factorization." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/dai2012cvpr-simple/) doi:10.1109/CVPR.2012.6247905

BibTeX

@inproceedings{dai2012cvpr-simple,
  title     = {{A Simple Prior-Free Method for Non-Rigid Structure-from-Motion Factorization}},
  author    = {Dai, Yuchao and Li, Hongdong and He, Mingyi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {2018-2025},
  doi       = {10.1109/CVPR.2012.6247905},
  url       = {https://mlanthology.org/cvpr/2012/dai2012cvpr-simple/}
}