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» Separating Shape Graphs
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KBSE
2010
IEEE
14 years 10 months ago
Model comparison with GenericDiff
This paper proposes GenericDiff, a general framework for model comparison. The main idea is to separate the specification of domain-specific model properties and syntax from the g...
Zhenchang Xing
124
Voted
CVPR
2009
IEEE
16 years 7 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
CVPR
2005
IEEE
16 years 2 months ago
On Modelling Nonlinear Shape-and-Texture Appearance Manifolds
Statistical shape-and-texture appearance models employ image metamorphosis to form a rich, compact representation of object appearance. They achieve their efficiency by decomposin...
Chris Mario Christoudias, Trevor Darrell
92
Voted
ECCV
2006
Springer
16 years 2 months ago
A Physically-Motivated Deformable Model Based on Fluid Dynamics
A novel deformable model for image segmentation and shape recovery is presented. The model is inspired by fluid dynamics and is based on a flooding simulation similar to the waters...
Andrei Jalba, Jos B. T. M. Roerdink
112
Voted
CVPR
2010
IEEE
15 years 9 months ago
Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction
Historically non-rigid shape recovery and articulated pose estimation have evolved as separate fields. Recent methods for non-rigid shape recovery have focused on improving the a...
Mathieu Salzmann, Raquel Urtasun