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Proceedings Paper

Recognizing 3D articulated-line-drawing objects
Author(s): Patrick S. P. Wang
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Paper Abstract

This paper deals with recognition of three-dimensional (3D) polyhedral objects from two- dimensional (2D) line-drawing images. A new scheme is presented, which is aimed at learning, representing, and recognizing complicated 3D polyhedral objects such as concave, self-occluded and articulated objects, yet with only very few learning samples and can distinguish objects with very similar patterns. Several examples are illustrated.

Paper Details

Date Published: 6 August 1993
PDF: 12 pages
Proc. SPIE 2056, Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods, (6 August 1993); doi: 10.1117/12.150191
Show Author Affiliations
Patrick S. P. Wang, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 2056:
Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods
David P. Casasent, Editor(s)

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