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

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Date
2008
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
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@inproceedings{
:10.2312/3DOR/3DOR08/009-016
, booktitle = {
Eurographics 2008 Workshop on 3D Object Retrieval
}, editor = {
Stavros Perantonis and Nikolaos Sapidis and Michela Spagnuolo and Daniel Thalmann
}, title = {{
3D Object Retrieval using an Efficient and Compact Hybrid Shape Descriptor
}}, author = {
Papadakis, Panagiotis
and
Pratikakis, Ioannis
and
Theoharis, Theoharis
and
Passalis, Georgios
and
Perantonis, Stavros
}, year = {
2008
}, publisher = {
The Eurographics Association
}, ISSN = {
1997-0463
}, ISBN = {
978-3-905674-05-7
}, DOI = {
/10.2312/3DOR/3DOR08/009-016
} }
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