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» Computational methods for understanding 3D shapes
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ICIP
2010
IEEE
13 years 5 months ago
3D vertebrae segmentation using graph cuts with shape prior constraints
Osteoporosis is a bone disease characterized by a reduction in bone mass, resulting in an increased risk of fractures. To diagnose the osteoporosis accurately, bone mineral densit...
Melih S. Aslan, Asem M. Ali, Dongqing Chen, Ben Ar...
ECCV
2010
Springer
14 years 1 days ago
Hough Transform and 3D SURF for robust three dimensional classification
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition tech...
CGF
2005
252views more  CGF 2005»
13 years 7 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...
ISVC
2009
Springer
14 years 2 months ago
A Bag of Features Approach for 3D Shape Retrieval
In this paper, we present an adaptation the Bag of Features (BoF) concept to 3D shape retrieval problems. The BoF approach has recently become one of the most popular methods in 2D...
Janis Fehr, Alexander Streicher, Hans Burkhardt
SCALESPACE
1997
Springer
13 years 11 months ago
3D Shape Representation: Transforming Polygons into Voxels
We developed a method that transforms a polygonal representation of an object into a voxel representation on a 3D regular grid. By applying scale-space theory we derived expression...
Stijn Oomes, Peter R. Snoeren, Tjeerd Dijkstra