Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
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
Outex - New Framework for Empirical Evaluation of Texture Analysis Algorithms
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
PLSA-based image auto-annotation: constraining the latent space
Proceedings of the 12th annual ACM international conference on Multimedia
Spatial Priors for Part-Based Recognition Using Statistical Models
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Bayesian Hierarchical Model for Learning Natural Scene Categories
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Using Dependent Regions for Object Categorization in a Generative Framework
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dominant local binary patterns for texture classification
IEEE Transactions on Image Processing
Object Categorization Using Hierarchical Wavelet Packet Texture Descriptors
ISM '09 Proceedings of the 2009 11th IEEE International Symposium on Multimedia
Multi-scale binary patterns for texture analysis
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
Scene categorization using boosted back-propagation neural networks
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Learning multi-scale block local binary patterns for face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Texture Description Through Histograms of Equivalent Patterns
Journal of Mathematical Imaging and Vision
Texture classification based on BIMF monogenic signals
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Indirect immunofluorescence image classification using texture descriptors
Expert Systems with Applications: An International Journal
Matrix based cyclic spectral estimator for fast and robust texture classification
The Visual Computer: International Journal of Computer Graphics
Multimedia Tools and Applications
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Local binary pattern (LBP) is an effective texture descriptor which has successful applications in texture classification and face recognition. Many extensions are made for conventional LBP descriptors. One of the extensions is dominant local binary patterns which aim at extracting the dominant local structures in texture images. The second extension is representing LBP descriptors in Gabor transform domain (LGBP). The third extension is multi-resolution LBP (MLBP). Another extension is dynamic LBP for video texture extraction. In this paper, we extend the conventional local binary pattern to pyramid transform domain (PLBP). By cascading the LBP information of hierarchical spatial pyramids, PLBP descriptors take texture resolution variations into account. PLBP descriptors show their effectiveness for texture representation. Comprehensive comparisons are made for LBP, MLBP, LGBP, and PLBP. Performances of no sampling, partial sampling and spatial pyramid sampling approaches for the construction of PLBP texture descriptors are compared. The influences of pyramid generation approaches, and pyramid levels to PLBP based image categorization performances are discussed. Compared to the existing multi-resolution LBP descriptors, PLBP is with satisfactory performances and with low computational costs.