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» A New Bayesian Method for Range Image Segmentation
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ATAL
2006
Springer
13 years 11 months ago
An Agent-Based Approach for Range Image Segmentation
Abstract. In this paper an agent-based segmentation approach is presented and discussed. The approach consists in the utilization of autonomous agents for the segmentation of a ran...
Smaine Mazouzi, Zahia Guessoum, Fabien Michel, Moh...
CVPR
1999
IEEE
14 years 9 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...
BILDMED
2007
148views Algorithms» more  BILDMED 2007»
13 years 9 months ago
Bayesian Vessel Extraction for Planning of Radiofrequency-Ablation
The software-assisted planning of radiofrequency-ablation of liver tumors calls for robust and fast methods to segment the tumor and surrounding vascular structures from clinical d...
Stephan Zidowitz, Johann Drexl, Tim Kröger, T...
ICIP
2007
IEEE
13 years 9 months ago
Bayesian Example Based Segmentation using a Hybrid Energy Model
This paper describes a supervised segmentation algorithm which draws inspiration from recent advances in non-parametric texture synthesis. A set of example images which have been ...
Claire Gallagher, Anil C. Kokaram
ICIP
2009
IEEE
13 years 5 months ago
A novel two-tier Bayesian based method for hair segmentation
In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior prob...
Dan Wang, Shiguang Shan, Wei Zeng, Hongming Zhang,...