Applications of Computer Vision, IEEE Workshop on (2012)
Breckenridge, CO USA
Jan. 9, 2012 to Jan. 11, 2012
Jonghyun Choi , Institute for Advanced Computer Studies, University of Maryland, College Park, USA
William Robson Schwartz , Institute of Computing, University of Campinas, SP, Brazil
Huimin Guo , Institute for Advanced Computer Studies, University of Maryland, College Park, USA
Larry S. Davis , Institute for Advanced Computer Studies, University of Maryland, College Park, USA
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.
H. Guo, W. R. Schwartz, J. Choi and L. S. Davis, "A complementary local feature descriptor for face identification," Applications of Computer Vision, IEEE Workshop on(WACV), Breckenridge, CO USA, 2012, pp. 121-128.