Local binary patterns: Difference between revisions

Revision as of 10:40, 29 December 2019

Revision as of 10:53, 29 December 2019

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== Extensions ==

* Over-Complete Local Binary Patterns (OCLBP):<ref>Barkan et. al "Fast High Dimensional Vector Multiplication Face Recognition." Proceedings of ICCV 2013</ref> OCLBP is a variant of LBP that has been shown to improve the overall performance on face verification. Unlike LBP, OCLBP adopts overlapping to adjacent blocks. Formally, the configuration of OCLBP is denoted as S : (a, b, v, h, p, r): an image is divided into a×b blocks with vertical overlap of v and horizontal overlap of h, and then uniform patterns LBP(u2,p,r) are extracted from all the blocks. Moreover, OCLBP is composed of several different configurations. For example, in their original paper, the authors used three configurations: S : (10,10,1/212,1/212,8,1),(14,14,1/212,1/212,8,2),(18,18,1/212,1/212,8,3). The three configurations consider three block sizes: 10×10, 14×14, 18×18, and half overlap rates along the vertical and horizontal directions. These configurations are concatenated to form a 40877 dimensional feature vector for an image of size 150x80.

* Transition Local Binary Patterns(tLBP):<ref>Trefný, Jirí, and Jirí Matas."Extended set of local binary patterns for rapid object detection." Proceedings of the Computer Vision Winter Workshop. Vol. 2010. 2010.</ref> binary value of transition coded LBP is composed of neighbor pixel comparisons clockwise direction for all pixels except the central.

* Direction coded Local Binary Patterns(dLBP): the dLBP encodes the intensity variation along the four basic directions through the central pixel in two bits.