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» A survey of content based 3D shape retrieval methods
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3DOR
2010
13 years 3 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
SMI
2008
IEEE
150views Image Analysis» more  SMI 2008»
14 years 3 months ago
SHREC'08 entry: Multi-view 3D retrieval using multi-scale contour representation
We describe in this paper a method for 3D shape indexing and retrieval that we apply on three data collections of the SHREC SHape Retrieval Contest 2008: Stability on watertight, ...
Thibault Napoleon, Tomasz Adamek, Francis Schmitt,...
3DPVT
2004
IEEE
176views Visualization» more  3DPVT 2004»
14 years 10 days ago
3D Model Retrieval Based on 2D Slice Similarity Measurements
In this paper, we present an approach based on 2D slices for measuring similarity between 3D models. The key idea is to represent the 3D model by a series of slices along certain ...
Jiantao Pu, Yi Liu, Guyu Xin, Hongbin Zha, Weibin ...
SMI
2006
IEEE
168views Image Analysis» more  SMI 2006»
14 years 2 months ago
Spherical Wavelet Descriptors for Content-based 3D Model Retrieval
The description of 3D shapes with features that possess descriptive power and invariant under similarity transformations is one of the most challenging issues in content based 3D ...
Hamid Laga, Hiroki Takahashi, Masayuki Nakajima
IJCAT
2010
133views more  IJCAT 2010»
13 years 7 months ago
A 3D shape classifier with neural network supervision
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
Zhenbao Liu, Jun Mitani, Yukio Fukui, Seiichi Nish...