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» 2D and 3D Shape Based Segmentation Using Deformable Models
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DICTA
2003
15 years 3 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»
15 years 1 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»
15 years 1 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
16 years 3 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 10 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 ...