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IJCV
2007
146views more  IJCV 2007»
13 years 7 months ago
Image-Based Modeling by Joint Segmentation
The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tra...
Long Quan, Jingdong Wang, Ping Tan, Lu Yuan
MICCAI
2009
Springer
14 years 3 days ago
Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an e...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
ECCV
2002
Springer
14 years 9 months ago
3D Statistical Shape Models Using Direct Optimisation of Description Length
We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmen...
Rhodri H. Davies, Carole J. Twining, Timothy F. Co...
TMI
2002
147views more  TMI 2002»
13 years 7 months ago
Cortex Segmentation - A Fast Variational Geometric Approach
An automatic cortical gray matter segmentation from a three-dimensional (3-D) brain images [magnetic resonance (MR) or computed tomography] is a well known problem in medical image...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...
ICCV
2007
IEEE
14 years 9 months ago
Joint Affinity Propagation for Multiple View Segmentation
A joint segmentation is a simultaneous segmentation of registered 2D images and 3D points reconstructed from the multiple view images. It is fundamental in structuring the data fo...
Jianxiong Xiao, Jingdong Wang, Ping Tan, Long Quan