Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
The nature of statistical learning theory
The nature of statistical learning theory
Toward Improved Ranking Metrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evolutionary Pursuit and Its Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Bayes Decision Rule Induced Similarity Measures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimization of color conversion for face recognition
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
ICA color space for pattern recognition
IEEE Transactions on Neural Networks
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Learning the Uncorrelated, Independent, and Discriminating Color Spaces for Face Recognition
IEEE Transactions on Information Forensics and Security
Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust coding schemes for indexing and retrieval from large face databases
IEEE Transactions on Image Processing
A shape- and texture-based enhanced Fisher classifier for face recognition
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Discriminant analysis and similarity measure
Pattern Recognition
New color GPHOG descriptors for object and scene image classification
Machine Vision and Applications
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This paper presents a discriminative color features (DCF) method, which applies a simple yet effective color model, a novel similarity measure, and effective color feature extraction methods, for improving face recognition performance. First, the new color model is constructed according to the principle of Ockham's razor from a number of available models that take advantage of the subtraction of the primary colors for boosting pattern recognition performance. Second, the novel similarity measure integrates both the angular and the distance information for improving upon the broadly applied similarity measures. Finally, the discriminative color features are extracted from a compact color image representation by means of discriminant analysis with enhanced generalization capabilities. Experiments on the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4, which contains 12,776 training images, 16,028 controlled target images, and 8,014 uncontrolled query images, show the feasibility of the proposed method.