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» Shape Statistics for Image Segmentation with Prior
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CVPR
2005
IEEE
14 years 12 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
ACCV
2006
Springer
14 years 3 months ago
Smooth Foreground-Background Segmentation for Video Processing
Abstract. We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques re...
Konrad Schindler, Hanzi Wang
PAMI
2008
202views more  PAMI 2008»
13 years 9 months ago
Metamorphs: Deformable Shape and Appearance Models
This paper presents a new deformable modeling strategy aimed at integrating shape and appearance in a unified space. If we think traditional deformable models as "active cont...
Xiaolei Huang, Dimitris N. Metaxas
ICCV
2009
IEEE
13 years 7 months ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
PAMI
2010
171views more  PAMI 2010»
13 years 8 months ago
Automatic Construction of Correspondences for Tubular Surfaces
Abstract— Statistical shape modeling is an established technique and is used for a variety of tasks in medical image processing, such as image segmentation and analysis. A challe...
Toon Huysmans, Jan Sijbers, Brigitte Verdonk