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Proceedings Paper

3D object understanding from 2D images
Author(s): Patrick S. P. Wang
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Paper Abstract

This paper deals with 3D object understanding from 2D images, including articulated objects in active vision environment. Usually an articulated object is divided into two portions: main rigid portion and articulated portion. It is more complicated than `rigid' object in that the relative positions, shapes or angles between the main portion and the articulated portion have essentially infinite variations, in addition to the infinite variations of each individual rigid portions due to orientations, rotations and topological transformations. A new method generalized from linear combination is employed to investigate such problems. It uses very few learning samples, and can described, understand, and recognized 3D articulated objects while the objects status is being changed in an active vision environment.

Paper Details

Date Published: 25 September 1998
PDF: 11 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323587
Show Author Affiliations
Patrick S. P. Wang, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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