Constraint-Fusion for Interpretation of Articulated Objects
Abstract
This paper presents a method for interpretation of modeled objects that is general enough to cover articulated and other types of constrained models. The exibility between components of the model are expressed as spatial constraints which are fused into the pose estimation during the interpretation process. The constraint fusion assists in obtaining the correct interpretation and in reducing the search of possible correspondences. The proposed method can handle any constraint (including inequalities) between any number of di erent components of the model. The framework is based on Kalman ltering. 1
Cite
Text
Hel-Or and Werman. "Constraint-Fusion for Interpretation of Articulated Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323808Markdown
[Hel-Or and Werman. "Constraint-Fusion for Interpretation of Articulated Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/helor1994cvpr-constraint/) doi:10.1109/CVPR.1994.323808BibTeX
@inproceedings{helor1994cvpr-constraint,
title = {{Constraint-Fusion for Interpretation of Articulated Objects}},
author = {Hel-Or, Yacov and Werman, Michael},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1994},
pages = {39-45},
doi = {10.1109/CVPR.1994.323808},
url = {https://mlanthology.org/cvpr/1994/helor1994cvpr-constraint/}
}