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» Markov Random Field Modeling in Computer Vision
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ICCV
2003
IEEE
14 years 11 months ago
A New Perspective [on] Shape-from-Shading
Shape-from-Shading (SfS) is a fundamental problem in Computer Vision. The vast majority of research in this field have assumed orthography as its projection model. This paper re-e...
Ariel Tankus, Nir A. Sochen, Yehezkel Yeshurun
ICPR
2002
IEEE
14 years 10 months ago
Automated Feature Registration for Robust Tracking Methods
Tracking people within a scene has been a longstanding challenge in the field of computer vision. A common approach involves matching the background against the incoming video str...
Shawn Arseneau, Jeremy R. Cooperstock
PAMI
2007
185views more  PAMI 2007»
13 years 8 months ago
A Two-Level Generative Model for Cloth Representation and Shape from Shading
In this paper we present a two-level generative model for representing the images and surface depth maps of drapery and clothes. The upper level consists of a number of folds whic...
Feng Han, Song Chun Zhu
NIPS
2007
13 years 10 months ago
Spatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Xiaogang Wang, Eric Grimson
CVPR
2008
IEEE
13 years 9 months ago
Meshless deformable models for LV motion analysis
We propose a novel meshless deformable model for in vivo cardiac left ventricle (LV) 3D motion estimation. As a relatively new technology, tagged MRI (tMRI) provides a direct and ...
Xiaoxu Wang, Dimitris N. Metaxas, Ting Chen, Leon ...