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» Computational Topology for Shape Modeling
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BMVC
2010
15 years 2 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ICCV
2007
IEEE
15 years 10 months ago
Shape Priors using Manifold Learning Techniques
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
Patrick Etyngier, Florent Ségonne, Renaud K...
PAM
2010
Springer
15 years 11 months ago
Extracting Intra-domain Topology from mrinfo Probing
Active and passive measurements for topology discovery have known an impressive growth during the last decade. If a lot of work has been done regarding inter-domain topology discov...
Jean-Jacques Pansiot, Pascal Mérindol, Beno...
IJCV
1998
233views more  IJCV 1998»
15 years 4 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker
WSCG
2004
149views more  WSCG 2004»
15 years 5 months ago
Shape-Preserving Parametrization of Genus 0 Surfaces
The parametrization of 3-d meshes can be used in many fields of computer graphics. Mesh-texturing, mesh-retriangulation or 3-d morphing are only few applications for which a mesh ...
Hermann Birkholz