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ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
13 years 4 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
ICIP
2006
IEEE
14 years 12 days ago
A Hierarchical Approach to Rotation-Invariant Texture Feature Extraction Based on Radon Transform Parameters
In this paper, we propose an efficient hierarchical method for extracting invariant texture features using the Gabor wavelets and Radon transform parameters. The proposed method a...
Mahmoud R. Hejazi, Yo-Sung Ho
ICPR
2008
IEEE
14 years 7 months ago
Texture segmentation benchmark
The Prague texture segmentation data-generator and benchmark is a web based (http://mosaic.utia.cas.cz) service designed to mutually compare and rank different texture segmenters,...
Michal Haindl, Stanislav Mikes
ICCV
2003
IEEE
14 years 8 months ago
A Class of Photometric Invariants: Separating Material from Shape and Illumination
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
ECCV
2004
Springer
13 years 11 months ago
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
Lei Zhang 0002, Dimitris Samaras