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  1. Proceedings of the ACM workshop on 3D object retrieval (3DOR '10)
  2. Local visual patch for 3d shape retrieval
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Local visual patch for 3d shape retrieval
A benchmark for best view selection of 3D objects
Elastic Riemannian frameworks and statistical tools for shape analysis
3D shape retrieval based on best view selection
Incorporating several features in the protein ray descriptor for more accurate protein 3D structure retrieval
Orientation invariant 3D object classification using hough transform based methods
Unique shape context for 3d data description
Single spin image-ICP matching for efficient 3D object recognition
Distance metric learning and feature combination for shape-based 3D model retrieval
3D face landmark labelling
Indexing of 3d models based on graph of surfacic regions
Shape comparison through mutual distances of real functions
Elastic radial curves to model 3D facial deformations
Volumetric heat kernel signatures
Recognition of 3D faces with missing parts based on profile networks

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Local visual patch for 3d shape retrieval

Content Provider ACM Digital Library
Author Vandeborre, Jean Philippe Daoudi, Mohamed Tabia, Hedi Colot, Olivier
Abstract We present a novel method for 3D-object retrieval using Bag of Feature (BoF) approaches [8]. The method starts by selecting and then describing a set of points from the 3D-object. The proposed descriptor is an indexed collection of closed curves in $R^{3}$ on the 3D-surface. Such descriptor has the advantage of being invariant to different transformations that a shape can undergo. Based on vector quantization, we cluster those descriptors to form a shape vocabulary. Then, each point selected in the object is associated to a cluster (word) in that vocabulary. Finally, a BoF histogram counting the occurrences of every word is computed. In order to assess our method, we used shapes from the TOSCA and Sumner datasets. The results clearly demonstrate that the method is robust to many kind of transformations and produces higher precision compared with some state-of-the-art methods.
Starting Page 3
Ending Page 8
Page Count 6
File Format PDF
ISBN 9781450301602
DOI 10.1145/1877808.1877811
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-25
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Bag of features Retrieval Curve analysis 3d shape
Content Type Text
Resource Type Article
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