A Bayesian Observer Replicates Convexity Context Effects in Figure–Ground Perception

A Bayesian Observer Replicates Convexity Context Effects in Figure–Ground Perception Seeing and Perceiving 25 (2012) 365–395 brill.nl/sp A Bayesian Observer Replicates Convexity Context Effects in Figure–Ground Perception Daniel Goldreich 1 , ∗ and Mary A. Peterson 2 1 Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada 2 Department of Psychology and Cognitive Science Program, University of Arizona, Tucson, Arizona, USA Received 14 September 2010; accepted 11 February 2012 Abstract Peterson and Salvagio (2008) demonstrated convexity context effects in figure–ground perception. Subjects shown displays consisting of unfamiliar alternating convex and concave regions identified the convex regions as foreground objects progressively more frequently as the number of regions increased; this occurred only when the concave regions were homogeneously colored. The origins of these effects have been unclear. Here, we present a two-free-parameter Bayesian observer that replicates convexity context effects. The Bayesian observer incorporates two plausible expectations regarding three-dimensional scenes: (1) objects tend to be convex rather than concave, and (2) backgrounds tend (more than foreground objects) to be homogeneously colored. The Bayesian observer estimates the probability that a depicted scene is three- dimensional, and that the convex regions are figures. It responds stochastically by sampling from its posterior distributions. Like human observers, the Bayesian observer shows convexity http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Seeing and Perceiving (continuation of Spatial Vision from 2010 and continued as Multisensory Research from 2013) Brill

A Bayesian Observer Replicates Convexity Context Effects in Figure–Ground Perception

Loading next page...
 
/lp/brill/a-bayesian-observer-replicates-convexity-context-effects-in-figure-av0qePojq7
Publisher
Brill
Copyright
© Koninklijke Brill NV, Leiden, The Netherlands
ISSN
1878-4755
eISSN
1878-4763
D.O.I.
10.1163/187847612X634445
Publisher site
See Article on Publisher Site

Abstract

Seeing and Perceiving 25 (2012) 365–395 brill.nl/sp A Bayesian Observer Replicates Convexity Context Effects in Figure–Ground Perception Daniel Goldreich 1 , ∗ and Mary A. Peterson 2 1 Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada 2 Department of Psychology and Cognitive Science Program, University of Arizona, Tucson, Arizona, USA Received 14 September 2010; accepted 11 February 2012 Abstract Peterson and Salvagio (2008) demonstrated convexity context effects in figure–ground perception. Subjects shown displays consisting of unfamiliar alternating convex and concave regions identified the convex regions as foreground objects progressively more frequently as the number of regions increased; this occurred only when the concave regions were homogeneously colored. The origins of these effects have been unclear. Here, we present a two-free-parameter Bayesian observer that replicates convexity context effects. The Bayesian observer incorporates two plausible expectations regarding three-dimensional scenes: (1) objects tend to be convex rather than concave, and (2) backgrounds tend (more than foreground objects) to be homogeneously colored. The Bayesian observer estimates the probability that a depicted scene is three- dimensional, and that the convex regions are figures. It responds stochastically by sampling from its posterior distributions. Like human observers, the Bayesian observer shows convexity

Journal

Seeing and Perceiving (continuation of Spatial Vision from 2010 and continued as Multisensory Research from 2013)Brill

Published: Jan 1, 2012

Keywords: Bayesian inference; scene segregation; Figure–ground; computational model; object convexity; configural cue; natural scene statistics; Gestalt principles

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