ML Anthology

Motion Analysis and Epicardial Deformation Estimation from Angiography Data

Sanjoy K. Mishra, Dmitry B. Goldgof, Thomas S. Huang
CVPR 1991 pp. 331-336
doi:10.1109/CVPR.1991.139711 /cvpr/1991/mishra1991cvpr-motion/

Abstract

A curvature-based approach to estimating nonrigid deformation of moving surfaces is described. Conformal motion can be characterized by stretching of the surface. At each point this stretching is equal in all directions, but is different for different points. This stretching function can be defined as an additional (with global translation and rotation) motion parameter. An algorithm for local stretching recovery from Gaussian curvature based on polynomial approximations of the stretching function is presented. These methods require point correspondences between time frames, but not the complete knowledge of nonrigid transformation.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

CVPR Semantic Scholar

Cite

Text

Mishra et al. "Motion Analysis and Epicardial Deformation Estimation from Angiography Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139711

Markdown

[Mishra et al. "Motion Analysis and Epicardial Deformation Estimation from Angiography Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/mishra1991cvpr-motion/) doi:10.1109/CVPR.1991.139711

BibTeX

@inproceedings{mishra1991cvpr-motion,
  title     = {{Motion Analysis and Epicardial Deformation Estimation from Angiography Data}},
  author    = {Mishra, Sanjoy K. and Goldgof, Dmitry B. and Huang, Thomas S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {331-336},
  doi       = {10.1109/CVPR.1991.139711},
  url       = {https://mlanthology.org/cvpr/1991/mishra1991cvpr-motion/}
}