maandag 25 juli 2011

Global and local vision in natural scene identification

 
 

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Abstract  
The results of previous studies have suggested that to optimize the decoding of visual information, global contents of a scene are analyzed before local features (global precedence hypothesis). Evidence supporting this hypothesis has been provided for identification of characters, faces, hybrid stimuli, and simple objects. In the present study, we examined identification of high- and low-pass filtered natural pictures. Despite the radical differences in the type of information conveyed by global and local features, confident and accurate identification was achieved on the basis of either kind of information when an intermediate range of spatial frequencies was preserved. The present data are consistent with the notion of global precedence in scene identification.

  • Content Type Journal Article
  • Pages 1-8
  • DOI 10.3758/s13423-011-0133-6
  • Authors
    • Andrea De Cesarei, Department of Psychology, University of Bologna, Viale Berti Pichat, 5, 40127 Bologna, BO, Italy
    • Geoffrey R. Loftus, Department of Psychology, University of Washington, Box 351525, Seattle, WA 98195-1525, USA

 
 

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