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Models for the perception of orientation in random dot patterns

✍ Scribed by Jiri Mates; P. Lánsky; N. Yakimoff

Publisher
Springer-Verlag
Year
1990
Tongue
English
Weight
908 KB
Volume
63
Category
Article
ISSN
0340-1200

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✦ Synopsis

The aim of this paper is to summarize and to compare some known mathematical models of orientation perception in random dot patterns and to propose new solutions of this question. The model adequacy is judged from the previously obtained experimental results. Apart from the models based on some simple function of the coordinates of dots forming a pattern, also models derived from the so-called image function of the pattern are analysed. The latter ones were found more flexible to render the different features of experimentally obtained data, mainly in the case of orientation ambiguity for some special patterns. The stochastic variants of the deterministic models are introduced.

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