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» Pose refinement of active models using forces in 3D
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ICPR
2002
IEEE
14 years 1 months ago
Image Segmentation Using Gradient Vector Diffusion and Region Merging
Active Contour (or Snake) Model is recognized as one of the efficient tools for 2D/3D image segmentation. However, traditional snake models prove to be limited in several aspects...
Zeyun Yu, Chandrajit L. Bajaj
CVPR
2000
IEEE
14 years 10 months ago
Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures
Curve evolution schemes for segmentation, implemented with level set methods, have become an important approach in computer vision. Previous work has modeled evolving contours whi...
Liana M. Lorigo, W. Eric L. Grimson, Olivier D. Fa...
PAMI
2002
112views more  PAMI 2002»
13 years 8 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
CAIP
2007
Springer
143views Image Analysis» more  CAIP 2007»
14 years 2 months ago
A Level Set Bridging Force for the Segmentation of Dendritic Spines
The paper focusses on a group of segmentation problems dealing with 3D data sets showing thin objects that appear disconnected in the data due to partial volume effects or a large...
Karsten Rink, Klaus D. Tönnies
TIP
2008
116views more  TIP 2008»
13 years 8 months ago
Automatic Active Model Initialization via Poisson Inverse Gradient
Abstract--Active models have been widely used in image processing applications. A crucial stage that affects the ultimate active model performance is initialization. This paper pro...
Bing Li, Scott T. Acton