Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
The CMU Pose, Illumination, and Expression (PIE) Database
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Robust Face Recognition under Lighting Variations
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
A comparison of subspace analysis for face recognition
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized elastic graph matching for face recognition
Pattern Recognition Letters
Journal of Cognitive Neuroscience
Face recognition using HOG-EBGM
Pattern Recognition Letters
Face recognition across pose: A review
Pattern Recognition
LPP solution schemes for use with face recognition
Pattern Recognition
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
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In this paper, we propose a novel approach based on Grayscale Arranging Pairs (GAP) for face recognition. A facial model is built by using the stable point pairs of the GAP feature. Then the similarity between the facial model and the input facial image is calculated by checking whether the intensity relationship of these point pairs is the same. Different from current face recognition algorithms, GAP is a robust holistic feature without losing its local property. By using a stable intensity relationship of multiple point pairs, the GAP feature shows a great invariance property of facial features, and exhibits high robustness to resist illumination variations. Meanwhile, it describes the holistic information in the entire facial image, which is more similar to the human recognition mechanism. In addition, a novel weighting model that exploits the local characteristics of faces is applied in the framework, leading to a higher accuracy in face recognition. We compare the proposed method with four other famous methods on the Extended Yale B face and PIE face databases. The experimental results showed that the proposed method provides outstanding results in recognizing faces.