Motion-Vision Architectures
Abstract
A fast tracking algorithm is used to determine displacements of points (pixels) on object surfaces between frames, a sequence of image frames representing a time-varying scene. The displacement is represented by a four-dimension vector whose elements are two-dimensional translation, rotation, rotational angle on the x-y plane, and scaling factor (zoom parameter). The algorithm was developed in conjunction with research on sensors for machine vision with biological vision features. The proposed sensor has two configurations: a uniform rectangular grid and a nonuniform logarithmic spiral grid. The rectangular grid is very well suited to translational motion in 2-D, whereas the logarithmic spiral grid has been proven to be appropriate for rotation and scaling. The algorithm developed utilizes both configurations for estimating 3-D motion.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Narathong et al. "Motion-Vision Architectures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196268Markdown
[Narathong et al. "Motion-Vision Architectures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/narathong1988cvpr-motion/) doi:10.1109/CVPR.1988.196268BibTeX
@inproceedings{narathong1988cvpr-motion,
title = {{Motion-Vision Architectures}},
author = {Narathong, C. and Inigo, Rafael M. and Doner, J. F. and McVey, Eugene S.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1988},
pages = {411-416},
doi = {10.1109/CVPR.1988.196268},
url = {https://mlanthology.org/cvpr/1988/narathong1988cvpr-motion/}
}