Cross-pose Face Recognition by Canonical Correlation Analysis

Abstract

The pose problem is one of the bottlenecks in automatic face recognition. We argue that one of the difficulties in this problem is the severe misalignment in face images or feature vectors with different poses. In this paper, we propose that this problem can be statistically solved or at least mitigated by maximizing the intra-subject across-pose… (More)

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