Hierarchical Model-Based Motion Estimation
Abstract
This paper describes a hierarchical estimation framework for the computation of diverse representations of motion information. The key features of the resulting framework (or family of algorithms) are a global model that constrains the overall structure of the motion estimated, a local model that is used in the estimation process, and a coarse-fine refinement strategy. Four specific motion models: affine flow, planar surface flow, rigid body motion, and general optical flow, are described along with their application to specific examples.
Cite
Text
Bergen et al. "Hierarchical Model-Based Motion Estimation." European Conference on Computer Vision, 1992. doi:10.1007/3-540-55426-2_27Markdown
[Bergen et al. "Hierarchical Model-Based Motion Estimation." European Conference on Computer Vision, 1992.](https://mlanthology.org/eccv/1992/bergen1992eccv-hierarchical/) doi:10.1007/3-540-55426-2_27BibTeX
@inproceedings{bergen1992eccv-hierarchical,
title = {{Hierarchical Model-Based Motion Estimation}},
author = {Bergen, James R. and Anandan, P. and Hanna, Keith J. and Hingorani, Rajesh},
booktitle = {European Conference on Computer Vision},
year = {1992},
pages = {237-252},
doi = {10.1007/3-540-55426-2_27},
url = {https://mlanthology.org/eccv/1992/bergen1992eccv-hierarchical/}
}