Discriminative features for texture description
Pattern Recognition
Visual recognition using local quantized patterns
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Local higher-order statistics (LHS) for texture categorization and facial analysis
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Illumination Invariant Face Recognition Using Quaternion-Based Correlation Filters
Journal of Mathematical Imaging and Vision
Semantic pixel sets based local binary patterns for face recognition
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Efficient image appearance description using dense sampling based local binary patterns
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
LBP - TOP based countermeasure against face spoofing attacks
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Face spoofing detection using dynamic texture
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Face recognition with enhanced local directional patterns
Neurocomputing
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The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures. Also, where texture was once utilized for applications such as remote sensing, industrial inspection and biomedical image analysis, the introduction of LBP-based approaches have provided outstanding results in problems relating to face and activity analysis, with future scope for face and facial expression recognition, biometrics, visual surveillance and video analysis. Computer Vision Using Local Binary Patterns provides a detailed description of the LBP methods and their variants both in spatial and spatiotemporal domains. This comprehensive reference also provides an excellent overview as to how texture methods can be utilized for solving different kinds of computer vision and image analysis problems. Source codes of the basic LBP algorithms, demonstrations, some databases and a comprehensive LBP bibliography can be found from an accompanying web site. Topics include: local binary patterns and their variants in spatial and spatiotemporal domains, texture classification and segmentation, description of interest regions, applications in image retrieval and 3D recognition - Recognition and segmentation of dynamic textures, background subtraction, recognition of actions, face analysis using still images and image sequences, visual speech recognition and LBP in various applications. Written by pioneers of LBP, this book is an essential resource for researchers, professional engineers and graduate students in computer vision, image analysis and pattern recognition. The book will also be of interest to all those who work with specific applications of machine vision.