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Proceedings Paper

Symmetry Detection In Human Vision
Author(s): J. Wagemans; L. Van Gool; P. Wambacq; G. d'Ydewalle; A. Oosterlinck
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Paper Abstract

A basic assumption underlying this paper is that the construction of a high-speed, high-accuracy, and general-purpose artificial recognition system might profit from theories and data about the principles of the human visual system. More specifically, it is argued that perceptual organization in general and symmetry detection in particular are interesting processes required between the initial stage of edge detection and the final stage of object recognition. Therefore, theories and data about detection of regularities such as symmetry in human vision are summarized. Furthermore, a general scheme is proposed that might enable the detection of image regularities in a way that is in good agreement with these experimental data and theoretical models. In addition, some of our own experiments about human detection of bilateral and skewed symmetry in dot-patterns are presented to show the plausibility of the scheme. Although the results are promising, a lot of work remains to be done, both with respect to the empirical foundation of the model and with respect to its mathematical and computational specification.

Paper Details

Date Published: 5 September 1989
PDF: 14 pages
Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989);
Show Author Affiliations
J. Wagemans, Laboratory of Experimental Psychology (Belgium)
L. Van Gool, ESAT-MI2 (Belgium)
P. Wambacq, ESAT-MI2 (Belgium)
G. d'Ydewalle, Laboratory of Experimental Psychology (Belgium)
A. Oosterlinck, ESAT-MI2 (Belgium)

Published in SPIE Proceedings Vol. 1099:
Advances in Image Compression and Automatic Target Recognition
Andrew G. Tescher, Editor(s)

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