Scale Variant Image Pyramids
Abstract
Multi-scale representations are motivated by the scale invariant properties of natural images. While many low level statistical measures, such as the local mean and variance of intensity, behave in a scale invariant manner, there are many higher order deviations from scale invariance where zero-crossings merge and disappear. Such scale variant behavior is important information to represent because it is not easily predicted from lower resolution data. A scale variant image pyramid is a representation that separates this information from the more redundant and predictable scale invariant information.
Cite
Text
Gluckman. "Scale Variant Image Pyramids." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.265Markdown
[Gluckman. "Scale Variant Image Pyramids." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/gluckman2006cvpr-scale/) doi:10.1109/CVPR.2006.265BibTeX
@inproceedings{gluckman2006cvpr-scale,
title = {{Scale Variant Image Pyramids}},
author = {Gluckman, Joshua},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2006},
pages = {1069-1075},
doi = {10.1109/CVPR.2006.265},
url = {https://mlanthology.org/cvpr/2006/gluckman2006cvpr-scale/}
}