An Assessment of Information Criteria for Motion Model Selection

Torr, Philip H. S.

doi:10.1109/CVPR.1997.609296

An Assessment of Information Criteria for Motion Model Selection

Philip H. S. Torr

CVPR 1997 pp. 47-52

doi:10.1109/CVPR.1997.609296 /cvpr/1997/torr1997cvpr-assessment/

Abstract

Rigid motion imposes constraints on the motion of image points between the two images. The matched points must conform to one of several possible constraints, such as that given by the fundamental matrix or image-image homography, and it is essential to know which model to fit to the data before recovery of structure, matching or segmentation can be performed successfully This paper compares several model selection methods with a particular emphasis on providing a method that will workfully automatically on real imagery.

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Cite

Text

Torr. "An Assessment of Information Criteria for Motion Model Selection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609296

Markdown

[Torr. "An Assessment of Information Criteria for Motion Model Selection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/torr1997cvpr-assessment/) doi:10.1109/CVPR.1997.609296

BibTeX

@inproceedings{torr1997cvpr-assessment,
  title     = {{An Assessment of Information Criteria for Motion Model Selection}},
  author    = {Torr, Philip H. S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {47-52},
  doi       = {10.1109/CVPR.1997.609296},
  url       = {https://mlanthology.org/cvpr/1997/torr1997cvpr-assessment/}
}