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ICPR
2004
IEEE
14 years 7 months ago
A Statistical Shape Model without Using Landmarks
This paper describes the construction of a statistical shape model based on the iterative closest point algorithm. The method does not require manual nor automatic identification ...
Frans Vos, Paul W. de Bruin, J. G. M. Aubel, Geert...
CGF
2005
252views more  CGF 2005»
13 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...
SIGGRAPH
1992
ACM
13 years 10 months ago
Generative modeling: a symbolic system for geometric modeling
This paper discusses a new, symbolic approach to geometric modeling called generative modeling. The approach allows specification, rendering, and analysis of a wide variety of sha...
John M. Snyder, James T. Kajiya
EGC
2005
Springer
14 years 5 days ago
Statistical Modeling and Segmentation in Cardiac MRI Using a Grid Computing Approach
Abstract. Grid technology is widely emerging as a solution for wide-spread applicability of computerized analysis and processing procedures in biomedical sciences. In this paper we...
Sebastián Ordas, Hans C. van Assen, Loic Bo...
ICRA
2000
IEEE
108views Robotics» more  ICRA 2000»
13 years 11 months ago
Deformable Volumes in Path Planning Applications
This paper addresses the problem of path planning for a class of deformable volumes under fairly general manipulation constraints. The underlying geometric model for the volume is...
Elliot Anshelevich, Scott Owens, Florent Lamiraux,...