Share Email Print

Proceedings Paper

Automatic selection of recognition-oriented features from CAD models
Author(s): Jianchao Zeng; HuiQun Liu; Xueyin Lin
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

CAD-model based recognition and localization is one of the most important research areas where active vision principle can fully demonstrate its power and effectiveness. In this paper, we propose to use sparse range images to recognize and localize common mechanical parts that are isolated on the worktable. We emphasize the extraction of features that are suitable for the recognition and localization of objects and are easy to be detected by a light stripe range finder. Features of the mechanical parts are first carefully analyzed, which are then selected automatically from the corresponding CAD models. They are classified into two types according to types of the surfaces, that is, features for planar surfaces and features for curved surfaces, and are organized into a hierarchical feature base which is used for feature matching during the process of object recognition and localization. We explain our strategy in detail and show several experimental results of recognition and localization using a simulation system.

Paper Details

Date Published: 6 August 1993
PDF: 9 pages
Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); doi: 10.1117/12.150308
Show Author Affiliations
Jianchao Zeng, Tsinghua Univ. (China)
HuiQun Liu, Tsinghua Univ. (China)
Xueyin Lin, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 2064:
Machine Vision Applications, Architectures, and Systems Integration II
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

© SPIE. Terms of Use
Back to Top