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» Texture classification with minimal training images
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CVPR
2009
IEEE
16 years 3 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...
CVPR
2003
IEEE
15 years 11 months ago
Texture Classification: Are Filter Banks Necessary?
We question the role that large scale filter banks have traditionally played in texture classification. It is demonstrated that textures can be classified using the joint distribu...
Manik Varma, Andrew Zisserman
ICIP
2010
IEEE
14 years 7 months ago
Rotation invariant texture classification using adaptive LBP with directional statistical features
Local Binary Pattern (LBP) has been widely used in texture classification because of its simplicity and computational efficiency. Traditional LBP codes the sign of the local diffe...
Zhenhua Guo, Lei Zhang, David Zhang, Su Zhang
CVPR
2010
IEEE
15 years 5 months ago
Context-Constrained Hallucination for Image Super-Resolution
This paper proposes a context-constrained hallucination approach for image super-resolution. Through building a training set of high-resolution/low-resolution image segment pairs,...
Jian Sun, Jiejie Zhu, Marshall Tappen
SCIA
2007
Springer
111views Image Analysis» more  SCIA 2007»
15 years 3 months ago
Scale-Space Texture Classification Using Combined Classifiers
Abstract. Since texture is scale dependent, multi-scale techniques are quite useful for texture classification. Scale-space theory introduces multi-scale differential operators. In...
Mehrdad J. Gangeh, Bart M. ter Haar Romeny, C. Esw...