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» Representation and Self-Similarity of Shapes
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BMVC
2010
14 years 7 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
ECCV
2010
Springer
15 years 3 months ago
Shape Analysis of Planar Objects with Arbitrary Topologies using Conformal Geometry
The study of 2D shapes is a central problem in the field of computer vision. In 2D shape analysis, classification and recognition of objects from their observed silhouette are e...
ICPR
2004
IEEE
15 years 11 months ago
Multiscale Fourier Descriptor for Shape-Based Image Retrieval
The shapes occurring in the images are important in the content-based image retrieval. In this paper we introduce a new Fourier-based descriptor for the characterization of the sh...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
CVPR
2010
IEEE
15 years 5 months ago
Convex Shape Decomposition
In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formalize the convex decomposition problem as an integer linear programming probl...
Liu Hairong, Longin Jan Latecki, Liu Wenyu
CGF
2005
252views more  CGF 2005»
14 years 9 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...