1 July 2004 Superquadric representation of automotive parts applying part decomposition
Yan Zhang, Andreas F. Koschan, Mongi A. Abidi
Author Affiliations +
Abstract
Superquadrics are able to represent a large variety of objects with only a few parameters and a single equation. We present a superquadric representation strategy for automotive parts composed of 3-D triangle meshes. Our strategy consists of two major steps of part decomposition and superquadric fitting. The originalities of this approach include the following two features. First, our approach can represent multipart objects with superquadrics successfully by applying part decomposition. Second, superquadrics recovered from our approach have the highest confidence and accuracy due to the 3-D watertight surfaces utilized. A novel, generic 3-D part decomposition algorithm based on curvature analysis is also proposed. Experimental results demonstrate that the proposed part decomposition algorithm is able to segment multipart objects into meaningful single parts efficiently. The proposed superquadric representation strategy can then represent each individual part of the original objects with a superquadric model successfully.
©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)
Yan Zhang, Andreas F. Koschan, and Mongi A. Abidi "Superquadric representation of automotive parts applying part decomposition," Journal of Electronic Imaging 13(3), (1 July 2004). https://doi.org/10.1117/1.1762516
Published: 1 July 2004
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Image segmentation

3D image processing

3D modeling

Neck

Detection and tracking algorithms

Object recognition

Computer graphics

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