Ellipsoidal Harmonics for 3-D Shape Description and Retrieval
| Autor: | A. Mademlis, Petros Daras, M.G. Strintzis, Dimitrios Tzovaras |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Surface (mathematics)
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Spherical harmonics Invariant (physics) Computational geometry Ellipsoid Computer Science Applications ComputingMethodologies_PATTERNRECOGNITION Computer Science::Computer Vision and Pattern Recognition Harmonics Computer Science::Multimedia Signal Processing Polygon Media Technology Computer vision Artificial intelligence Electrical and Electronic Engineering D-Shape business Rotation (mathematics) Algorithm ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | IEEE Transactions on Multimedia. 11:1422-1433 |
| ISSN: | 1941-0077 1520-9210 |
| DOI: | 10.1109/tmm.2009.2032690 |
| Popis: | In this paper, a novel approach for 3-D Shape description and retrieval based on the theory of ellipsoidal harmonics is presented. Four novel descriptors are introduced: the surface ellipsoidal harmonics descriptor, which concerns 3-D objects that are described as polygonal surfaces; the volumetric ellipsoidal harmonics descriptor, which is applicable to volumetric 3-D objects; the generalized ellipsoidal harmonics descriptor that is applied to any local 3-D object descriptors; and, finally, the combined ellipsoidal-spherical harmonics descriptor, which leads to a compact and powerful descriptor that inherits the advantages of both approaches: the rotation invariance properties of the spherical harmonics and the directional information enclosed in ellipsoidal harmonics. Experimental results performed using well-known 3-D object databases prove the retrieval efficiency of the proposed approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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