Floating search methods in feature selection
Pattern Recognition Letters
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reflectance and texture of real-world surfaces
ACM Transactions on Graphics (TOG)
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
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 Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Class-Specific Material Categorisation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A Texture-Based Method for Modeling the Background and Detecting Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Information Theory
Comparison of texture features based on Gabor filters
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A Comparative Study of Local Matching Approach for Face Recognition
IEEE Transactions on Image Processing
Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
On the Spatial Distribution of Local Non-parametric Facial Shape Descriptors
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Texture classification by modeling joint distributions of local patterns with Gaussian mixtures
IEEE Transactions on Image Processing
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
Logistic Stick-Breaking Process
The Journal of Machine Learning Research
Face recognition with decision tree-based local binary patterns
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Dictionary learning in texture classification
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Nonlinear scale space theory in texture classification using multiple classifier systems
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Continuous rotation invariant local descriptors for texton dictionary-based texture classification
Computer Vision and Image Understanding
Supervised texture classification using a novel compression-based similarity measure
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
WaveLBP based hierarchical features for image classification
Pattern Recognition Letters
Face recognition with enhanced local directional patterns
Neurocomputing
Neurocomputing
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This paper presents a unified framework for image descriptors based on quantized joint distribution of filter bank responses and evaluates the significance of filter bank and vector quantizer selection. First, a filter bank based representation of the local binary pattern (LBP) operator is introduced, which shows that LBP can also be presented as an operator producing vector quantized filter bank responses. Maximum response 8 (MR8) and Gabor filters are widely used alternatives to the derivative filters which are used to implement LBP, and the performance of these three sets is compared in the texture categorization and face recognition tasks. Despite their small spatial support, the local derivative filters are shown to outperform Gabor and MR8 filters in texture categorization with the KTH-TIPS2 images. In face recognition task with CMU PIE images, the Gabor filter-based representation achieves the best recognition rate. Furthermore, it is shown that when the filter response vectors are quantized for histogram based joint density estimation, thresholding is clearly faster than using learned codebooks and, being robust to gray-level changes, it yields better recognition rate in most cases. Third, automatic selection of filter bank is discussed and excellent face recognition performance in the face recognition task is achieved with the optimized filter bank.