3D shape retrieval by visual parts similarity

In this paper we propose a novel algorithm for 3D shape searching based on the visual similarity by cutting the object into parts. This method rectify some of the shortcomings of the visual similarity based methods, so that it can better account for objects with deformation, articulation, concave ar...

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Bibliographic Details
Main Authors: Wagan, Asim Imdad, Godil, Afzal, Bres, Stephane
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Biological system modeling
Histograms
Image databases
Mesh generation
NIST
Partitioning algorithms
Shape measurement
Standards development
Wavelet transforms
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Description
Summary:In this paper we propose a novel algorithm for 3D shape searching based on the visual similarity by cutting the object into parts. This method rectify some of the shortcomings of the visual similarity based methods, so that it can better account for objects with deformation, articulation, concave areas, and parts of the object not visible because of self occlusion. As the first step, the 3D objects are partitioned into a number of parts by using cutting planes or by mesh segmentation. Then a number of silhouettes from different directions are rendered of those parts. Then Zernike moments are applied on the silhouettes to generate shape descriptors. The distance measure is based on minimizing the distance among all the combinations of shape descriptors and then these distances are used for similarity based searching.
ISSN:1550-5219
2332-5615
DOI:10.1109/AIPR.2009.5466316