Learned local Gabor patterns for face representation and recognition
Signal Processing
Face recognition with decision tree-based local binary patterns
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Fast multi-scale local phase quantization histogram for face recognition
Pattern Recognition Letters
Image and Vision Computing
Learning discriminant face descriptor for face recognition
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Local descriptors and similarity measures for frontal face recognition: A comparative analysis
Journal of Visual Communication and Image Representation
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This paper proposes a novel simple yet effective generative model based on Local Visual Primitives (LVP) for face modeling and classification. The LVPs, as the pattern of local face region, are learnt by clustering a great number of local patches. Visually, these LVPs correspond to intuitive low-level micro visual structures very well, and they are expected to constitute those high-level semantic features, such as eyes, nose and mouth. We show that, though face appearances vary dramatically, these LVPs are very effective for face image reconstruction. For face recognition, block-based histograms of the LVPs indexes are extracted as the face representation to compare for classification. Primary experiments on FERET face database have shown that the LVP method can achieve encouraging recognition rate.