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ICCV
2007
IEEE
14 years 2 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
ICCV
2009
IEEE
3166views Computer Vision» more  ICCV 2009»
14 years 11 months ago
Detection and Removal of Chromatic Moving Shadows in Surveillance Scenarios
Segmentation in the surveillance domain has to deal with shadows to avoid distortions when detecting moving objects. Most segmentation approaches dealing with shadow detection are ...
Ivan Huerta, Michael Holte, Thomas Moeslund, and J...
IJCV
2006
164views more  IJCV 2006»
13 years 7 months ago
Stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
Based on recent work on Stochastic Partial Differential Equations (SPDEs), this paper presents a simple and well-founded method to implement the stochastic evolution of a curve. F...
Olivier Juan, Renaud Keriven, Gheorghe Postelnicu
PRL
2007
158views more  PRL 2007»
13 years 7 months ago
Stability and convergence of the level set method in computer vision
Several computer vision problems, like segmentation, tracking and shape modeling, are increasingly being solved using level set methodologies. But the critical issues of stability...
Kunal N. Chaudhury, K. R. Ramakrishnan
IJRR
2010
159views more  IJRR 2010»
13 years 2 months ago
Vision-guided Robot System for Picking Objects by Casting Shadows
We present a complete vision guided robot system for model based 3D pose estimation and picking of singulated 3D objects. Our system employs a novel vision sensor consisting of a ...
Amit Agrawal, Yu Sun, John Barnwell, Ramesh Raskar