The use of visual information in natural scenes

$54.97 plus tax (Refund Policy)

Buy Article:

Abstract:

Despite the complexity and diversity of natural scenes, humans are very fast and accurate at identifying basic‐level scene categories. In this paper we develop a new technique (based on Bubbles , Gosselin & Schyns, 2001a; Schyns, Bonnar, & Gosselin, 2002) to determine some of the information requirements of basic‐level scene categorizations. Using 2400 scenes from an established scene database (Oliva & Torralba, 2001), the algorithm randomly samples the Fourier coefficients of the phase spectrum. Sampled Fourier coefficients retain their original phase while the phase of nonsampled coefficients is replaced with that of white noise. Observers categorized the stimuli into 8 basic‐level categories. The location of the sampled Fourier coefficients leading to correct categorizations was recorded per trial. Statistical analyses revealed the major scales and orientations of the phase spectrum that observers used to distinguish scene categories.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/13506280444000599

Affiliations: Department of Psychology, University of Glasgow, UK

Publication date: August 1, 2005

Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more