Share Email Print

Proceedings Paper

Regularity Detection As A Strategy In Object Modelling And Recognition
Author(s): L. Van Gool; J. Wagemans; A. Oosterlinck
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Human subjects easily perceive and extensively use shape regularities such as symmetry or periodicity when they are confronted with the task of object description and recognition. A computer vision algorithm is presented which emulates such behaviour in that it similarly makes use of shape redundancies for the concise description and meaningful segmentation of object contours. This can be compared with the way in which designers proceed in using CAD/CAM. In order to make the problem more accessible to computer programming, the contours are analyzed in so-called 'arc length space'. This novel mapping facilitates the detection and elimination of regularities under a broad range of viewing conditions and yields a natural basis for the formulation of the corresponding model compression rules. Several of the regularities which have traditionally been treated separately, are given a unified substrate.

Paper Details

Date Published: 21 March 1989
PDF: 12 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969266
Show Author Affiliations
L. Van Gool, ESAT-MI2 (Belgium)
J. Wagemans, Lab. Experimental Psychology (Belgium)
A. Oosterlinck, ESAT-MI2 (Belgium)

Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

© SPIE. Terms of Use
Back to Top