Motion and Surface Recovery Using Curvature and Motion Consistency
Abstract
In this paper we have sketched out an algorithm for reconstructing a sequence of overlapping range images based on two key constraints: minimizing the local variation of curvature across adjacent views, and minimizing the variation of motion parameters across adjacent surface points. It operates without explicitly computing correspondence and without the invoking a global rigidity assumption. Preliminary results indicate that the resulting surface reconstruction is both robust and accurate.
Cite
Text
Soucy and Ferrie. "Motion and Surface Recovery Using Curvature and Motion Consistency." European Conference on Computer Vision, 1992. doi:10.1007/3-540-55426-2_25Markdown
[Soucy and Ferrie. "Motion and Surface Recovery Using Curvature and Motion Consistency." European Conference on Computer Vision, 1992.](https://mlanthology.org/eccv/1992/soucy1992eccv-motion/) doi:10.1007/3-540-55426-2_25BibTeX
@inproceedings{soucy1992eccv-motion,
title = {{Motion and Surface Recovery Using Curvature and Motion Consistency}},
author = {Soucy, Gilbert and Ferrie, Frank P.},
booktitle = {European Conference on Computer Vision},
year = {1992},
pages = {222-226},
doi = {10.1007/3-540-55426-2_25},
url = {https://mlanthology.org/eccv/1992/soucy1992eccv-motion/}
}