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» A Computational Model of Multidimensional Shape
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CVPR
2005
IEEE
14 years 11 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
CVPR
2007
IEEE
14 years 11 months ago
Multiview normal field integration using level set methods
In this paper, we propose a new method to integrate multiview normal fields using level sets. In contrast with conventional normal integration algorithms used in shape from shadin...
Ju Yong Chang, Kyoung Mu Lee, Sang Uk Lee
CVPR
2010
IEEE
14 years 6 months ago
Probabilistic 3D Occupancy Flow with Latent Silhouette Cues
In this paper we investigate shape and motion retrieval in the context of multi-camera systems. We propose a new lowlevel analysis based on latent silhouette cues, particularly su...
Li Guan, Jean-Sebastien Franco, Edmond Boyer, Marc...
CGF
2008
127views more  CGF 2008»
13 years 9 months ago
Fitting Sharp Features with Loop Subdivision Surfaces
Various methods have been proposed for fitting subdivision surfaces to different forms of shape data (e.g., dense meshes or point clouds), but none of these methods effectively de...
Ruotian Ling, Wenping Wang, Dong-Ming Yan
CG
2006
Springer
13 years 9 months ago
Connectivity preserving digitization of blurred binary images in 2D and 3D
Connectivity and neighborhood are fundamental topological properties of objects in pictures. Since the input for any image analysis algorithm is a digital image, which does not ne...
Peer Stelldinger, Ullrich Köthe