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3D Object Retrieval using an Efficient and Compact Hybrid Shape Descriptor

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
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Submitted on : Friday, November 30, 2012 - 11:19:30 AM
Last modification on : Wednesday, September 26, 2018 - 4:32:03 PM
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Panagiotis Papadakis, Ioannis Pratikakis, Theoharis Theoharis, Georgios Passalis, Stavros Perantonis. 3D Object Retrieval using an Efficient and Compact Hybrid Shape Descriptor. Eurographics Workshop on 3D Object Retrieval, 2008, Herakleion, Greece. ⟨10.2312/3DOR/3DOR08/009-016⟩. ⟨hal-00758995⟩



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