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ICCV
2005
IEEE
14 years 2 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
3DPH
2009
190views Healthcare» more  3DPH 2009»
13 years 9 months ago
Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling
We present a nearly automatic graph-based segmentation method for patient specific modeling of the aortic arch and carotid arteries from CTA scans for interventional radiology simu...
Moti Freiman, Noah Broide, Miriam Natanzon, Einav ...
CVPR
2004
IEEE
14 years 10 months ago
Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images
This paper addresses the problem of estimating human body pose in static images. This problem is challenging due to the high dimensional state space of body poses, the presence of...
Mun Wai Lee, Isaac Cohen
ECCV
2004
Springer
14 years 10 months ago
Human Pose Estimation Using Learnt Probabilistic Region Similarities and Partial Configurations
Abstract. A model of human appearance is presented for efficient pose estimation from real-world images. In common with related approaches, a high-level model defines a space of co...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
ICIP
2005
IEEE
14 years 10 months ago
Unsupervised multiband image segmentation using hidden Markov quadtree and copulas
This paper deals with Hidden Markov Quadtree model for multiband image segmentation. This task, requiring multivariate probability density computations for the data likelihood ter...
Farid Flitti, Christophe Collet, Annabele Joannic-...