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An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
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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
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Decision Support Systems
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Pattern Recognition Letters
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Artificial Intelligence in Medicine
Local binary patterns for a hybrid fingerprint matcher
Pattern Recognition
A novel extended local-binary-pattern operator for texture analysis
Information Sciences: an International Journal
Rotationally Invariant Hashing of Median Binary Patterns for Texture Classification
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Fuzzy Local Binary Patterns for Ultrasound Texture Characterization
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
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CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
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AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
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MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Local binary patterns variants as texture descriptors for medical image analysis
Artificial Intelligence in Medicine
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IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
SVM classification of neonatal facial images of pain
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Ensemble of Multiple Pedestrian Representations
IEEE Transactions on Intelligent Transportation Systems
Soft biometric classification using local appearance periocular region features
Pattern Recognition
| Hi-index | 12.05 |
This paper focuses on the combination of variants of local binary patterns (LBP), widely considered the state of the art among texture descriptors, using the same radius and the same number of neighborhoods. We report new experiments exploring several LBP-based descriptors and propose a set of variants for the representation of images. Our experiments are of two main types. In the first set, the Fourier transform is used to extract features starting from the histogram of uniform patterns. In these experiments we test different methods of extracting features from the histogram and each method is used to train a set of support vector machines (SVMs) which are then combined. In the second set of experiments, features are extracted from histograms using different definitions of uniform patterns. These are used to train SVMs, and the results are then combined. Our results show that descriptors extracted from LPB using the same radius and the same number of neighborhoods can be combined to improve classifier performance.