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 FERET Evaluation Methodology for Face-Recognition Algorithms
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
Non-parametric Local Transforms for Computing Visual Correspondence
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Feature extraction by non parametric mutual information maximization
The Journal of Machine Learning Research
Face Detection Using Improved LBP under Bayesian Framework
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Binary Patterns as an Image Preprocessing for Face Authentication
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Feature Extraction Using Information-Theoretic Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Car/Non-Car Classification in an Informative Sample Subspace
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Experimental Comparison of Feature Subset Selection Methods
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
Dynamic Texture Based Gait Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Normalized mutual information feature selection
IEEE Transactions on Neural Networks
Face detection with the modified census transform
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face authentication using adapted local binary pattern histograms
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Block-Based methods for image retrieval using local binary patterns
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Probability of error, equivocation, and the Chernoff bound
IEEE Transactions on Information Theory
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Using mutual information for selecting features in supervised neural net learning
IEEE Transactions on Neural Networks
Face detection based on multi-block LBP representation
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Learning multi-scale block local binary patterns for face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Information Sciences: an International Journal
Analysis and design of rank-based classifiers
Expert Systems with Applications: An International Journal
A comparative study of color texture features for face analysis
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
3D LBP-Based rotationally invariant region description
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
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Although many variants of local binary patterns (LBP) are widely used for face analysis due to their satisfactory classification performance, they have not yet been proven compact. We propose an effective code selection method that obtain a compact LBP (CLBP) using the maximization of mutual information (MMI) between features and class labels. The derived CLBP is effective because it provides better classification performance with smaller number of codes. We demonstrate the effectiveness of the proposed CLBP by several experiments of face recognition and facial expression recognition. Our experimental results show that the CLBP outperforms other LBP variants such as LBP, ULBP, and MCT in terms of smaller number of codes and better recognition performance.