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» Randomness and Geometric Features in Computer Vision
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ICPR
2010
IEEE
13 years 10 months ago
Natural Material Recognition with Illumination Invariant Textural Features
Abstract—A visual appearance of natural materials fundamentally depends on illumination conditions, which significantly complicates a real scene analysis. We propose textural fe...
Pavel Vacha, Michael Haindl
ICIP
2005
IEEE
14 years 1 months ago
Image matching based on a local invariant descriptor
— Image matching is a fundamental task of many computer vision problems. In this paper we present a novel approach to match two images in presenting significant geometric deform...
Lei Qin, Wen Gao
ECCV
2006
Springer
14 years 9 months ago
Modeling 3D Objects from Stereo Views and Recognizing Them in Photographs
Local appearance models in the neighborhood of salient image features, together with local and/or global geometric constraints, serve as the basis for several recent and effective...
Akash Kushal, Jean Ponce
CVPR
2009
IEEE
2653views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Expression-Insensitive 3D Face Recognition using Sparse Representation
We present a face recognition method based on sparse representation for recognizing 3D face meshes under expressions using low-level geometric features. First, to enable the applic...
Xiaoxing Li, Tao Jia, Hao Zhang 0002
CVPR
2008
IEEE
14 years 9 months ago
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Grégory Rogez, Jonathan Rihan, Srikumar Ram...