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.1999.791287Markdown
[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.1999.791287BibTeX
@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/}
}