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3D object retrieval using an efficient and compact hybrid shape descriptor (2008)
| Content Provider | CiteSeerX |
|---|---|
| Author | Pratikakis, I. Passalis, G. Theoharis, T. Perantonis, S. Papadakis, P. |
| Description | IN EUROGRAPHICS 2008 WORKSHOP ON 3D OBJECT RETRIEVAL |
| 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. |
| File Format | |
| Publisher Date | 2008-01-01 |
| Access Restriction | Open |
| Subject Keyword | Object Retrieval Spherical Harmonic State-of-the-art Method Alignment Method Standard Datasets Object Retrieval Method Extensive Comparison Hybrid Descriptor Compact Hybrid Shape Descriptor Scalar Feature Quantization Depth Buffer Retrieval Methodology |
| Content Type | Text |
| Resource Type | Conference Proceedings |
