Abstract | ||
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In this paper, we present an overview of the 3D object retrieval method that we employed in our participation to the generic models track of SHREC 2008 organized by the AIM@SHAPE network of excellence. The proposed methodology is detailed in [2]. Our method is based on a hybrid scheme where 2D features as well as 3D features are extracted from a 3D model which has been previously normalized for rotation using two alternative alignment techniques. The alignment methods that are used are CPCA and NPCA. The 2D features are Fourier coefficients extracted from a set of depth buffers and the 3D features are spherical harmonic coefficients extracted from a spherical function-based representation of a 3D model. |
Year | DOI | Venue |
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2008 | 10.1109/SMI.2008.4547990 | Shape Modeling International |
Keywords | DocType | ISBN |
fourier transforms,npca,hybrid scheme,generic model,information retrieval,h.3.3 [information storage and retrieval]: information search and retrieval—retrieval models,feature extraction,3d object retrieval,depth buffer,solid modelling,alternative alignment technique,shrec 2008,2d feature extraction,fourier coefficient,3d feature extraction,cpca,computational intelligence,data mining,spherical function,computer graphics,spherical harmonic,informatics | Conference | 978-1-4244-2260-9 |
Citations | PageRank | References |
5 | 0.46 | 3 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Panagiotis Papadakis | 1 | 378 | 17.19 |
Ioannis Pratikakis | 2 | 1065 | 57.91 |
Stavros J. Perantonis | 3 | 425 | 42.45 |
Theoharis Theoharis | 4 | 1120 | 63.81 |
Georgios Passalis | 5 | 633 | 23.29 |