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» Learning Shape Prior Models for Object Matching
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IPMI
2001
Springer
14 years 9 months ago
Multi-scale 3-D Deformable Model Segmentation Based on Medial Description
This paper presents a Bayesian multi-scale three dimensional deformable template approach based on a medial representation for the segmentation and shape characterization of anatom...
Sarang C. Joshi, Stephen M. Pizer, P. Thomas Fletc...
JZUSC
2010
133views more  JZUSC 2010»
13 years 7 months ago
Image driven shape deformation using styles
: In this paper, we propose an image driven shape deformation approach for stylizing a 3D mesh using styles learned from existing 2D illustrations. Our approach models a 2D illustr...
Guang-hua Tan, Wei Chen, Li-gang Liu
CVPR
2005
IEEE
14 years 10 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
EMMCVPR
2005
Springer
14 years 2 months ago
Object Categorization by Compositional Graphical Models
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
Björn Ommer, Joachim M. Buhmann
CGF
2008
125views more  CGF 2008»
13 years 9 months ago
Sparse points matching by combining 3D mesh saliency with statistical descriptors
This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first st...
Umberto Castellani, Marco Cristani, Simone Fantoni...