3-D Model-Data Correspondence and Nonrigid Deformation
Abstract
Modeling nonrigid moving 3-D objects entails recovery of global motion, global shape, and local shape. The already difficult problem of tracking nonrigid local shape is made worse by the need for a model-data correspondence scheme to make tracking possible. Both problems are addressed. Various methods for establishing 3-D model-data correspondence are discussed, and a correspondence scheme for tessellated data is presented. A force-based method for nonrigid motion tracking is presented. The authors' method does not use complex finite element techniques but follows a residual force-based dynamic model for local deformation. Another novel feature is that the net forces are obtained by an adaptive force distribution scheme which ensures smooth and stable deformation. Results are presented of tracking simulated as well as real 3-D data of the inner wall of the heart ventricle from segmented magnetic resonance images.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Gupta and Liang. "3-D Model-Data Correspondence and Nonrigid Deformation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341159Markdown
[Gupta and Liang. "3-D Model-Data Correspondence and Nonrigid Deformation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/gupta1993cvpr-d/) doi:10.1109/CVPR.1993.341159BibTeX
@inproceedings{gupta1993cvpr-d,
title = {{3-D Model-Data Correspondence and Nonrigid Deformation}},
author = {Gupta, Alok and Liang, Cheng-Chung},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1993},
pages = {756-757},
doi = {10.1109/CVPR.1993.341159},
url = {https://mlanthology.org/cvpr/1993/gupta1993cvpr-d/}
}