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An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching
2013
2013 XXVI Conference on Graphics, Patterns and Images
Human faces are known to present large variability due to factors like pose and facial expression variations, changes in illumination and occlusion, among others, thus making face verification a very challenging problem. In this paper we address the problem of face verification with special interest on how to reduce degradation usually associated with face images acquired under uncontrolled environments. The approach we propose in this paper starts with a preprocessing step to correct in-plane
doi:10.1109/sibgrapi.2013.57
dblp:conf/sibgrapi/MouraGC13
fatcat:4u3xws6ku5ctdehgn6tmdu6pke