1 July 2004 Superquadric representation of automotive parts applying part decomposition
Author Affiliations +
J. of Electronic Imaging, 13(3), (2004). doi:10.1117/1.1762516
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.
Yan Zhang, Andreas F. Koschan, 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
JOURNAL ARTICLE
7 PAGES


SHARE
RELATED CONTENT

Constructing long edge segments for object recognition
Proceedings of SPIE (August 01 1992)
Experiments with perceptual grouping
Proceedings of SPIE (February 01 1991)
Recognizing Planar Objects in 3-D Space
Proceedings of SPIE (February 01 1990)
Extraction of shape-based properties
Proceedings of SPIE (October 06 1998)
Object recognition based on reflectance and geometry
Proceedings of SPIE (June 23 1993)

Back to Top