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Illumination variation is one of the critical factors affecting face recognition rate. A novel illumination compensation for face recognition is presented in this paper. First of all, a new illumination direction map is introduced, which is built using the block-based histogram equalization (Xudong Xie and Kin-Man Lam, 2005) and illumination model. Secondly, plane-fit method can be used to determine...
This paper proposes a scheme that is based on linear correlation criterion to select optimized Gabor filter bank. In addition, by using 2D Gaborface matrices rather than transformed 1D feature vectors, a novel Gaborface-based 2DPCA and (2D) 2 PCA classification method is introduced. Two kinds of strategies to use the bank of Gaborfaces are proposed: ensemble Gaborface representation (EGFR)...
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 propose a novel matching score normalization method for multi-classifiers based on their false acceptance rate (FAR) scores to make fusion operable at the matching level. The classifier discriminant analysis (CDA) is put forward and implemented to single out the best score from the appreciate classifier as the fusion output. Experimental results of face verification on two public...
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...
Face recognition is an advanced identification solution which can meet the crying needs in security areas. Pose effect is a big challenge for robust applications of this technology. We proposed a feature transformation approach to cope with the head rotation roughly within half profile view. Comparing with algorithms based on computer vision technology, the proposed feature transformation method is...
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