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Spectral shape descriptor using spherical harmonics
journal contribution
posted on 2010-01-01, 00:00 authored by Atul SajjanharAtul Sajjanhar, G Lu, D Zhang, Jingyu HouJingyu Hou, Wanlei Zhou, Yi-Ping Phoebe ChenIn this paper, we propose a spectral descriptor for shapes of objects. The method relies on transforming the 2D objects into 3D space; distance transform and scale space theory is used to transform objects into 3D space. Spherical harmonics of the voxel grid are used to obtain shape descriptors. The proposed methods are compared against two existing methods which use spherical harmonics for shape based retrieval of images. Comparison is done based on ranking of images which is articulated in recall-precision curves. MPEG-7 Still Images Content Set is used for performing experiments. Experimental results show that the performance of the proposed descriptor is significantly better than other methods in the same category.
History
Journal
Integrated computer-aided engineeringVolume
17Issue
2Pagination
167 - 173Publisher
IOS PressLocation
NetherlandsPublisher DOI
ISSN
1069-2509eISSN
1875-8835Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2010, IOS PressUsage metrics
Categories
Keywords
CBIRFeature extractionShape representationScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Interdisciplinary ApplicationsEngineering, MultidisciplinaryComputer ScienceEngineeringCLASSIFICATIONTRANSFORMSInformation SystemsArtificial Intelligence and Image ProcessingComputer Software
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