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CAV
2007
Springer
104views Hardware» more  CAV 2007»
16 years 21 days ago
Revamping TVLA: Making Parametric Shape Analysis Competitive
Abstract. TVLA is a parametric framework for shape analysis that can be easily instantiated to create different kinds of analyzers for checking properties of programs that use link...
Igor Bogudlov, Tal Lev-Ami, Thomas W. Reps, Mooly ...
ECCV
2010
Springer
15 years 12 months ago
Converting Level Set Gradients to Shape Gradients
The level set representation of shapes is useful for shape evolution and is widely used for the minimization of energies with respect to shapes. Many algorithms consider energies d...
ICIP
2010
IEEE
15 years 4 months ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...
CVPR
2005
IEEE
16 years 8 months ago
Level Set Based Shape Prior Segmentation
We propose a level set based variational approach that incorporates shape priors into Chan-Vese's model [3] for the shape prior segmentation problem. In our model, besides th...
Tony F. Chan, Wei Zhu
CVPR
2006
IEEE
16 years 8 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum