Attention control with reinforcement learning for face recognition under partial occlusion |
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Authors: | Ehsan Norouzi Majid Nili Ahmadabadi Babak Nadjar Araabi |
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Affiliation: | (1) Szczecin University of Technology, Żołnierska Str. 49, 71-210 Szczecin, Poland |
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Abstract: | In this paper a new method for handling occlusion in face recognition is presented. In this method the faces are partitioned
into blocks and a sequential recognition structure is developed. Then, a spatial attention control strategy over the blocks
is learned using reinforcement learning. The outcome of this learning is a sorted list of blocks according to their average
importance in the face recognition task. In the recall mode, the sorted blocks are employed sequentially until a confident
decision is made. Obtained results of various experiments on the AR face database demonstrate the superior performance of
proposed method as compared with that of the holistic approach in the recognition of occluded faces. |
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Keywords: | |
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