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Appearance-based face recognition was extended into across poses scenarios in this paper. Information related with pose rotation was discarded in traditional multi-view works but was learned from sample face images in present. Face recognition was implemented by reconstructing frontal view features using transformation matrix. Experiments proved that the proposed method was a much effective approach...
In this paper we developed a subspace analysis technology for pose-insensitive face recognition system using the proposed transformation matrix. Generic training image sets are used to train view-dependent subspaces, transformation matrix is calculated by solving linear matrix equations. Utilizing transformation matrix, side-view features could be converted into frontal view, recognition is implemented...
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