A Complementary Local Feature Descriptor for Face Identification
Abstract
In many descriptors, spatial intensity transforms are often packed into a histogram or encoded into binary strings to be insensitive to local misalignment and compact. Discriminative information, however, might be lost during the process as a trade-off. To capture the lost pixel-wise local information, we propose a new feature descriptor, Circular Center Symmetric-Pairs of Pixels (CCS-POP). It concatenates the symmetric pixel differences centered at a pixel position along various orientations with various radii; it is a generalized form of Local Binary Patterns, its variants and Pairs-of-Pixels (POP). Combining CCS-POP with existing descriptors achieves better face identification performance on FRGC Ver. 1.0 and FERET datasets compared to state-of-the-art approaches.
Cite
Text
Choi et al. "A Complementary Local Feature Descriptor for Face Identification." IEEE/CVF Winter Conference on Applications of Computer Vision, 2012. doi:10.1109/WACV.2012.6163014Markdown
[Choi et al. "A Complementary Local Feature Descriptor for Face Identification." IEEE/CVF Winter Conference on Applications of Computer Vision, 2012.](https://mlanthology.org/wacv/2012/choi2012wacv-complementary/) doi:10.1109/WACV.2012.6163014BibTeX
@inproceedings{choi2012wacv-complementary,
title = {{A Complementary Local Feature Descriptor for Face Identification}},
author = {Choi, Jonghyun and Schwartz, William Robson and Guo, Huimin and Davis, Larry S.},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2012},
pages = {121-128},
doi = {10.1109/WACV.2012.6163014},
url = {https://mlanthology.org/wacv/2012/choi2012wacv-complementary/}
}