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COMPGEOM
2011
ACM
12 years 10 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
CVPR
2009
IEEE
15 years 1 months ago
Learning Shape Prior Models for Object Matching
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can le...
Cordelia Schmid, Frédéric Jurie, Tin...
ECCV
2008
Springer
14 years 8 months ago
Improving Shape Retrieval by Learning Graph Transduction
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuow...
COMPGEOM
2003
ACM
13 years 12 months ago
Molecular shape analysis based upon the morse-smale complex and the connolly function
Docking is the process by which two or several molecules form a complex. Docking involves the geometry of the molecular surfaces, as well as chemical and energetical consideration...
Frédéric Cazals, Frédé...
CVPR
2004
IEEE
14 years 8 months ago
Shape Correspondence through Landmark Sliding
Motivated by improving statistical shape analysis, this paper presents a novel landmark-based method for accurate shape correspondence, where the general goal is to align multiple...
Song Wang, Toshiro Kubota, Theodor Richardson