3D object retrieval using an efficient and compact hybrid shape descriptor

Authors:
P. Papadakis;I. Pratikakis;T. Theoharis;G. Passalis;S. Perantonis
Affiliations:
Computational Intelligence Laboratory, Inst. of Informatics and Telecommunications, National Center for Scientific Research Demokritos, Athens, Greece and Computer Graphics Group, Department of In ...;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research Demokritos, Athens, Greece;Computer Graphics Group, Department of Informatics and Telecommunications, National and Capodistrian University of Athens, Greece;Computer Graphics Group, Department of Informatics and Telecommunications, National and Capodistrian University of Athens, Greece;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research Demokritos, Athens, Greece
Venue:
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
Year:
2008

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Abstract

Abstract We present a novel 3D object retrieval method that relies upon a hybrid descriptor which is composed of 2D features based on depth buffers and 3D features based on spherical harmonics. To compensate for rotation, two alignment methods, namely CPCA and NPCA, are used while compactness is supported via scalar feature quantization to a set of values that is further compressed using Huffman coding. The superior performance of the proposed retrieval methodology is demonstrated through an extensive comparison against state-of-the-art methods on standard datasets.