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.2006.265

Markdown

[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.2006.265

BibTeX

@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/}
}