Correspondenceless Motion Estimation from Range Images

Abstract

Estimation of rigid-body motion parameters in computer vision is normally performed from image correspondences between two coordinate frames. A large number of methods and algorithms have been proposed based on that such correspondences are known. Unfortunately, the establishment of correspondences is often time-consuming and, in many cases, impossible. In this paper, we propose a novel correspondenceless motion estimation algorithm based on the cross matrix. For a comparative study, we also implemented a correspondenceless motion estimation algorithm based on the scatter matrix. Experimental results have demonstrated that our method is more accurate and robust than the scatter matrix-based algorithm.

Cite

Text

Liu and Rodrigues. "Correspondenceless Motion Estimation from Range Images." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.791287

Markdown

[Liu and Rodrigues. "Correspondenceless Motion Estimation from Range Images." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/liu1999iccv-correspondenceless/) doi:10.1109/ICCV.1999.791287

BibTeX

@inproceedings{liu1999iccv-correspondenceless,
  title     = {{Correspondenceless Motion Estimation from Range Images}},
  author    = {Liu, Yonghuai and Rodrigues, Marcos A.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1999},
  pages     = {654-659},
  doi       = {10.1109/ICCV.1999.791287},
  url       = {https://mlanthology.org/iccv/1999/liu1999iccv-correspondenceless/}
}