Autonomous Fixation

Taalebinezhaad, M. Ali

doi:10.1109/CVPR.1992.223184

Autonomous Fixation

M. Ali Taalebinezhaad

CVPR 1992 pp. 744-747

doi:10.1109/CVPR.1992.223184 /cvpr/1992/taalebinezhaad1992cvpr-autonomous/

Abstract

The author previously introduced a direct method, called fixation, for the recovery of shape and motion in the general case that uses neither feature correspondence nor optical flow. Instead, it directly uses the spatio-temporal gradients of image brightness. The experimental results of applying some of the author's fixation algorithms to a sequence of real images, where the motion is a combination of translation and rotation, are reported. Techniques for autonomous choice of parameters that result in good estimates for important motion parameters are described.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

CVPR Semantic Scholar

Cite

Text

Taalebinezhaad. "Autonomous Fixation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223184

Markdown

[Taalebinezhaad. "Autonomous Fixation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/taalebinezhaad1992cvpr-autonomous/) doi:10.1109/CVPR.1992.223184

BibTeX

@inproceedings{taalebinezhaad1992cvpr-autonomous,
  title     = {{Autonomous Fixation}},
  author    = {Taalebinezhaad, M. Ali},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {744-747},
  doi       = {10.1109/CVPR.1992.223184},
  url       = {https://mlanthology.org/cvpr/1992/taalebinezhaad1992cvpr-autonomous/}
}