Fast LBP Face Detection on Low-Power SIMD Architectures

Olexa Bilaniuk, Ehsan Fazl Ersi, Robert Laganière, Christina Xu, Daniel Laroche, Craig Moulder

Abstract: This paper presents an embedded implementation of a face detection method based on boosted LBP features for Single Instruction Multiple Data (SIMD) architectures. The implementation exploits parallelism and data reuse in the detection algorithm and is integrated into CogniVue's Gen-1 APEX platform, which uses a SIMD design and is extremely energy efficient. The proposed embedded face detection system runs at 5 VGA frames per second, while providing similar accuracy to the PC version of the LBP face detection algorithm included in the OpenCV library.