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» A 3D shape matching framework
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ICCV
2003
IEEE
15 years 18 days ago
A Bayesian Network Framework for Relational Shape Matching
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...
SMI
2007
IEEE
157views Image Analysis» more  SMI 2007»
14 years 5 months ago
Skeleton-based Hierarchical Shape Segmentation
We present an effective framework for segmenting 3D shapes into meaningful components using the curve skeleton. Our algorithm identifies a number of a critical points on the curv...
Dennie Reniers, Alexandru Telea
CVPR
2007
IEEE
15 years 21 days ago
Learning Local Image Descriptors
In this paper we study interest point descriptors for image matching and 3D reconstruction. We examine the building blocks of descriptor algorithms and evaluate numerous combinati...
Simon A. J. Winder, Matthew Brown
ECCV
2002
Springer
15 years 17 days ago
A Probabilistic Theory of Occupancy and Emptiness
This paper studies the inference of 3D shape from a set of ? noisy photos. We derive a probabilistic framework to specify what one can infer about 3D shape for arbitrarily-shaped, ...
Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulak...
CGF
2010
163views more  CGF 2010»
13 years 10 months ago
Meshless Shape and Motion Design for Multiple Deformable Objects
We present physically based algorithms for interactive deformable shape and motion modeling. We coarsely sample the objects with simulation nodes, and apply a meshless finite elem...
Bart Adams, Martin Wicke, Maks Ovsjanikov, Michael...