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Error Analysis of 3-D Motion Estimation Algorithms in the Differential Case

Tao Xiang, Loong Fah Cheong
CVPR 2003 pp. 369-374
doi:10.1109/CVPR.2003.1211377 /cvpr/2003/xiang2003cvpr-error/

Abstract

We put forth in this paper a geometrically motivated 3D (three-dimensional) motion error analysis, which is capable of supporting investigation of global effect such as inherent ambiguities. The error expression that we derive allows us to predict the exact conditions likely to cause ambiguities and how these ambiguities vary with motion types such as lateral or forward motion. Our formulation, though geometrically motivated, is employed to model the effect of noise.

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Cite

Text

Xiang and Cheong. "Error Analysis of 3-D Motion Estimation Algorithms in the Differential Case." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211377

Markdown

[Xiang and Cheong. "Error Analysis of 3-D Motion Estimation Algorithms in the Differential Case." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/xiang2003cvpr-error/) doi:10.1109/CVPR.2003.1211377

BibTeX

@inproceedings{xiang2003cvpr-error,
  title     = {{Error Analysis of 3-D Motion Estimation Algorithms in the Differential Case}},
  author    = {Xiang, Tao and Cheong, Loong Fah},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2003},
  pages     = {369-374},
  doi       = {10.1109/CVPR.2003.1211377},
  url       = {https://mlanthology.org/cvpr/2003/xiang2003cvpr-error/}
}