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CVPR
1998
IEEE
14 years 6 months ago
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
We describe a technique for using the joint occurrence of local features at multiple resolutions to measure the similarity between texture images. Though superficially similar to ...
Jeremy S. De Bonet, Paul A. Viola
NIPS
1997
13 years 5 months ago
A Non-Parametric Multi-Scale Statistical Model for Natural Images
The observed distribution of natural images is far from uniform. On the contrary, real images have complex and important structure that can be exploited for image processing, reco...
Jeremy S. De Bonet, Paul A. Viola
SCALESPACE
2007
Springer
13 years 10 months ago
Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising
Abstract. Natural images consist of texture, structure and smooth regions and this makes the task of filtering challenging mainly when it aims at edge and texture preservation. In...
Noura Azzabou, Nikos Paragios, Frederic Guichard
ICPR
2006
IEEE
1161views computer vision» more  ICPR 2006»
14 years 5 months ago
Local Binary Pattern Descriptors for Dynamic Texture Recognition
Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with concaten...
Guoying Zhao, Matti Pietikäinen
AIPR
2005
IEEE
13 years 10 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman