5740 search results - page 2 / 1148 » Application of Level Set Methods in Computer Vision |
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
In this paper, we overcome a major drawback of the level set framework: the lack of point correspondences. We maintain explicit backward correspondences from the evolving interfac...
SCALESPACE
2007
Springer
13 years 11 months ago
2007
Springer
Level set methods have been proven to be efficient tools for tracing interface problems. Recently, some variants of the Osher- Sethian level set methods, which are called the Piece...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
TIP
2010
13 years 20 hour ago
2010
Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities du...
ICPR
2010
IEEE
14 years 9 days ago
2010
IEEE
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...