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» 2D and 3D Shape Based Segmentation Using Deformable Models
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DICTA
2003
14 years 11 months ago
A Model Set Based Object Segmentation Method Using Level Set Approach
Abstract. A novel approach for model set based object segmentation is described. The proposed method enables the using of a model set to guide the object segmentation. The object s...
Xun Wang, Zhigang Peng, Feng Gao, William G. Wee
PAMI
2007
155views more  PAMI 2007»
14 years 9 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
CVIU
2006
166views more  CVIU 2006»
14 years 9 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...
ICCV
1999
IEEE
15 years 11 months ago
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
This paper describes a Bayesian approach for modeling 3D scenes as a collection of approximately planar layers that are arbitrarily positioned and oriented in the scene. In contra...
Philip H. S. Torr, Richard Szeliski, P. Anandan

Source Code
1378views
13 years 5 months ago
gradient vector flow
Active contours, or snakes, are computer-generated curves that move within images to find object boundaries. Its 3D version is often known as deformable models or active surfaces ...