Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2016)

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摘要
To perform unconstrained face recognition robust to variations in illumination, pose and expression, this paper presents a new scheme to extract “Multi-Directional Multi-Level Dual-Cross Patterns” (MDML-DCPs) from face images. Specifically, the MDML-DCPs scheme exploits the first derivative of Gaussian operator to reduce the impact of differences in illumination and then computes the DCP feature a...
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关键词
Face,Face recognition,Facial features,Robustness,Feature extraction,Lighting,Histograms
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