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Patterns and textures are defining characteristics of many natural objects: a shirt can be striped, the wings of a butterfly can be veined, and the skin of an animal can be scaly.
Computer description of textured surfaces
R. Bajcsy · 1973
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Textural features corresponding to visual perception
H. Tamura, S. Mori, and T. Yamawaki · 1978
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Textons, the elements of texture perception, and their interactions
B. Julesz · 1981
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Textural features corresponding to textural properties
M. Amadasun and R. King · 1989
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Preattentive texture discrimination with early vision mechanisms
J. Malik and P. Perona · 1990
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B. Berlin and P. Kay · 1991
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The texture lexicon: Understanding the categorization of visual texture terms and their relationship to texture images
N. Bhushan, A. Rao, and G. Lohse · 1997
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Reflectance and texture of real world surfaces
K. J. Dana, B. van Ginneken, S. K. Nayar, and J. J. Koenderink · 1999
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Object recognition from local scale-invariant features
D. G. Lowe · 1999
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Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
J. C. Platt · 2000
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Representing and recognizing the visual appearance of materials using three-dimensional textons
T. Leung and J. Malik · 2001
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Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
T. Ojala, M. Pietikainen, and T. Maenpaa · 2002
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Fast anisotropic gauss filtering
J. M. Geusebroek, A. W. M. Smeulders, and J. van de Weijer · 2003
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Texture classification: Are filter banks necessary?
M. Varma and A. Zisserman · 2003
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Visual categorization with bags of keypoints
G. Csurka, C. R. Dance, L. Dan, J. Willamowski, and C. Bray · 2004
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On the significance of real-world conditions for material classification
E. Hayman, B. Caputo, M. Fritz, and J.-O. Eklundh · 2004
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Class-specific material categorisation
B. Caputo, E. Hayman, and P. Mallikarjuna · 2005
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A sparse texture representation using local affine regions
S. Lazebnik, C. Schmid, and J. Ponce · 2005
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A statistical approach to texture classification from single images
M. Varma and A. Zisserman · 2005
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Aggregating local descriptors into a compact image representation
H. Jégou, M. Douze, C. Schmid, and P. Pérez · 2010
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Improving the Fisher kernel for large-scale image classification
F. Perronnin, J. Sánchez, and T. Mensink · 2010
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Efficient additive kernels via explicit feature maps
A. Vedaldi and A. Zisserman · 2010
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Online crowdsourcing: rating annotators and obtaining cost-effective labels
P. Welinder and P. Perona · 2010
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Describing people: A poselet-based approach to attribute classification
L. Bourdev, S. Maji, and J. Malik · 2011
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Describable visual attributes for face verification and image search
N. Kumar, A. Berg, P. Belhumeur, and S. Nayar · 2011
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Learning visual attributes
V. Ferrari and A. Zisserman · 2007
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Fisher kernels on visual vocabularies for image categorization
F. Perronnin and C. R. Dance · 2007
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Describing objects by their attributes
A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth · 2009
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Material perceprion: What can you see in a brief glance?
L. Sharan, R. Rosenholtz, and E. H. Adelson · 2009
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Viewpoint invariant texture description using fractal analysis
Y. Xu, H. Ji, and C. Fermuller · 2009
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The scale of geometric texture
G. Oxholm, P. Bariya, and K. Nishino · 2012
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Sun attribute database: Discovering, annotating, and recognizing scene attributes
G. Patterson and J. Hays · 2012
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Local higher-order statistics (lhs) for texture categorization and facial analysis
G. Sharma, S. ul Hussain, and F. Jurie · 2012
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A training-free classification framework for textures, writers, and materials
R. Timofte and L. Van Gool · 2012
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Enriching texture analysis with semantic data
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Recognizing materials using perceptually inspired features
L. Sharan, C. Liu, R. Rosenholtz, and E. H. Adelson · 2013
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Rotation, scaling and deformation invariant scattering for texture discrimination
L. Sifre and S. Mallat · 2013
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