Spatial frequency channels and perceptual grouping in texture segregation
Computer Vision, Graphics, and Image Processing - Special issue on human and machine vission, part II
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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
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Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Matching Widely Separated Views Based on Affine Invariant Regions
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Shape Localization Based on Statistical Method Using Extended Local Binary Pattern
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Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Sparse Texture Representation Using Local Affine Regions
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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
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Representing shape with a spatial pyramid kernel
Proceedings of the 6th ACM international conference on Image and video retrieval
Description of interest regions with local binary patterns
Pattern Recognition
Image description using joint distribution of filter bank responses
Pattern Recognition Letters
Dominant local binary patterns for texture classification
IEEE Transactions on Image Processing
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving the fisher kernel for large-scale image classification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Learning local binary patterns for gender classification on real-world face images
Pattern Recognition Letters
Rotation Invariant Curvelet Features for Region Based Image Retrieval
International Journal of Computer Vision
A Co-Saliency Model of Image Pairs
IEEE Transactions on Image Processing
Visual recognition using local quantized patterns
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
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Effective image representation is critical for a variety of visual recognition tasks. In this paper we propose to use hierarchical features for image representation by exploiting the combined strengths of the wavelet transform and LBP (WaveLBP). To be specific, we build up image description under a hierarchical framework based on low-dimensional WaveLBP features with dense spatial sampling, which not only extracts multi-scale oriented features and local image patterns, but also captures multi-level (the pixel-level, patch-level and image-level) features. Experimental results show that the proposed WaveLBP based image description achieves competitive classification accuracies for three different visual recognition tasks.