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Extracting sparse error of robust PCA for face recognition in the presence of varying illumination and occlusion
Affiliation:1. College of Computer Science, Chongqing University, Chongqing 400044, PR China;2. College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, PR China;1. University of Bristol, Bristol, UK;2. University of Bath, Bath, UK;1. RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp) – Av. Albert Einstein, 1251, Campinas 13083-852, SP, Brazil;2. Department of Computer Engineering and Industrial Automation (DCA), School of Electrical and Computer Engineering (FEEC), University of Campinas (Unicamp) – Av. Albert Einstein, 400, Campinas 13083-852, SP, Brazil;3. Paris-Est University, IGN/SR, MATIS Lab, 73 avenue de Paris, 94160 Saint-Mandé, France;4. CNAM, CEDRIC Lab, 292 rue Saint-Martin, 75141 Paris Cedex 03, France;1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada T6G 2V4;2. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland;2. XLIM-SIC UMR CNRS 6172, Signals, Images and Communications Laboratory, University of Poitiers, France;1. University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia;2. Linköping University, Dept. of Electrical Engineering, Information Coding Group, SE-581 83 Linköping, Sweden
Abstract:
Keywords:Face recognition  Robust principal component analysis  Sparse error  Illumination  Occlusion
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