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Fast LBP Face Detection on Low-Power SIMD Architectures
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops
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
doi:10.1109/cvprw.2014.96
dblp:conf/cvpr/BilaniukELXLM14
fatcat:jy4otxxj6fgbzhjwn3vfxurghm