Psychophysical and computational studies of random-dot Moire patterns

Psychophysical and computational studies of random-dot Moire patterns Psychophysical and computational studies of random-dot Moire patterns K. PRAZDNY Machine Perception Group, Artificial Intelligence Laboratory, FMC Corporation, 1185 Coleman Avenue, Box 580, Santa Clara, CA 95052, USA Received 28 June 1985; accepted in revised form 12 November 1985 Abstract-Random-dot Moire dot patterns epitomize the local/global gap, the problem of perceiving global structures when only physical local information is available to the perceptual system. At present, no single theory appears to be able to account for all the phenomena these physically simple patterns generate. INTRODUCTION A random-dot Moire pattern (RDMP) is the perception of a global organization obtained by superimposing a usually pseudo-randomly distributed set of features (e.g. small dots) on a geometrically and possibly figurally transformed version of itself' (Glass, 1969, 1979; Glass and Perez, 1973; Glass and Switkes, 1976). The superimpo- sition of the original pattern and its copy results, if the distances between the correlated features are not too large, in an impression of global structure with orientations corresponding to correlations defined by the physical transformation (Fig. 1). Such patterns are interesting because the individual features do not have inherent directionality; local orientations corresponding to the global pattern must be obtained by some kind of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Spatial Vision (continued as Seeing & Perceiving from 2010) Brill

Psychophysical and computational studies of random-dot Moire patterns

Loading next page...
 
/lp/brill/psychophysical-and-computational-studies-of-random-dot-moire-patterns-tCVYnpvzfB
Publisher
Brill
Copyright
© 1986 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
0169-1015
eISSN
1568-5683
D.O.I.
10.1163/156856886X00034
Publisher site
See Article on Publisher Site

Abstract

Psychophysical and computational studies of random-dot Moire patterns K. PRAZDNY Machine Perception Group, Artificial Intelligence Laboratory, FMC Corporation, 1185 Coleman Avenue, Box 580, Santa Clara, CA 95052, USA Received 28 June 1985; accepted in revised form 12 November 1985 Abstract-Random-dot Moire dot patterns epitomize the local/global gap, the problem of perceiving global structures when only physical local information is available to the perceptual system. At present, no single theory appears to be able to account for all the phenomena these physically simple patterns generate. INTRODUCTION A random-dot Moire pattern (RDMP) is the perception of a global organization obtained by superimposing a usually pseudo-randomly distributed set of features (e.g. small dots) on a geometrically and possibly figurally transformed version of itself' (Glass, 1969, 1979; Glass and Perez, 1973; Glass and Switkes, 1976). The superimpo- sition of the original pattern and its copy results, if the distances between the correlated features are not too large, in an impression of global structure with orientations corresponding to correlations defined by the physical transformation (Fig. 1). Such patterns are interesting because the individual features do not have inherent directionality; local orientations corresponding to the global pattern must be obtained by some kind of

Journal

Spatial Vision (continued as Seeing & Perceiving from 2010)Brill

Published: Jan 1, 1986

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off