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» Application of Level Set Methods in Computer Vision
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CVPR
2006
IEEE
16 years 8 months ago
Edge Suppression by Gradient Field Transformation Using Cross-Projection Tensors
We propose a new technique for edge-suppressing operations on images. We introduce cross projection tensors to achieve affine transformations of gradient fields. We use these tens...
Amit K. Agrawal, Ramesh Raskar, Rama Chellappa
CG
2008
Springer
15 years 6 months ago
Tight and efficient surface bounds in meshless animation
This paper presents a fast approach for computing tight surface bounds in meshless animation, and its application to collision detection. Given a high-resolution surface animated ...
Denis Steinemann, Miguel A. Otaduy, Markus H. Gros...
CGF
2005
252views more  CGF 2005»
15 years 6 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
EUROPAR
2009
Springer
15 years 4 months ago
A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform
Abstract. Point matching is crucial for many computer vision applications. Establishing the correspondence between a large number of data points is a computationally intensive proc...
Lin Yang, Leiguang Gong, Hong Zhang, John L. Noshe...
UAI
2004
15 years 8 months ago
"Ideal Parent" Structure Learning for Continuous Variable Networks
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
Iftach Nachman, Gal Elidan, Nir Friedman