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TIP
2002
147views more  TIP 2002»
13 years 4 months ago
Stochastic differential equations and geometric flows
In recent years, curve evolution, applied to a single contour or to the level sets of an image via partial differential equations, has emerged as an important tool in image process...
Gozde B. Unal, Hamid Krim, Anthony J. Yezzi
ECCV
2000
Springer
14 years 6 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
CVPR
2000
IEEE
13 years 8 months ago
Statistical Shape Influence in Geodesic Active Contours
A novel method of incorporating shape information into the image segmentation process is presented. We introduce a representation for deformable shapes and define a probability di...
Michael E. Leventon, W. Eric L. Grimson, Olivier D...
ICCV
2001
IEEE
14 years 6 months ago
Gradient Vector Flow Fast Geodesic Active Contours
This paper proposes a new front propagation flow for boundary extraction. The proposed framework is inspired by the geodesic active contour model and leads to a paradigm that is r...
Nikos Paragios, Olivier Mellina-Gottardo, Visvanat...
CVPR
2005
IEEE
2143views Computer Vision» more  CVPR 2005»
15 years 1 months ago
Level Set Evolution Without Re-initialization: A New Variational Formulation
"In this paper, we present a new variational formulation for geometric active contours that forces the level set function to be close to a signed distance function, and theref...
Chunming Li, Chenyang Xu, Changfeng Gui, and Marti...