June 2007
Volume 7, Issue 9
Free
Vision Sciences Society Annual Meeting Abstract  |   June 2007
Uncovering the structure of 3-D shape representations in human vision through analyses of eye movement patterns in object recognition
Author Affiliations
  • Charles Leek
    Centre for Cognitive Neuroscience, University of Wales, Bangor, UK
Journal of Vision June 2007, Vol.7, 934. doi:10.1167/7.9.934
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Charles Leek; Uncovering the structure of 3-D shape representations in human vision through analyses of eye movement patterns in object recognition. Journal of Vision 2007;7(9):934. doi: 10.1167/7.9.934.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

A fundamental question for vision research concerns how the visual system represents the shapes of three-dimensional (3-D) objects for recognition. To examine this issue we measured eye movement patterns during single object identification. While eye movements have been widely studied in a variety of other domains such as scene analysis, reading, visual search and face perception, there is surprisingly little evidence about eye movement patterns in relation to object recognition. We asked three questions. First, do eye movement patterns show preferences for specific types of image features? Second, are gaze preferences consistent between stimulus encoding and recognition? Third, are they invariant across changes in 3-D viewpoint and illumination? Eye movements were recorded while Ss attempted to first encode and then recognize the shapes of novel 3-D objects each composed of distinct volumetric components. An area of interest (AOI) analysis revealed remarkable consistency in the eye movement patterns between the learning and testing phases, and across different viewpoints of the same objects and lighting conditions. These gaze patterns cannot be predicted from low-level image salience. Rather, the results suggest that fixation patterns during object recognition are driven by higher-level 3-D object representations.

Leek, C. (2007). Uncovering the structure of 3-D shape representations in human vision through analyses of eye movement patterns in object recognition [Abstract]. Journal of Vision, 7(9):934, 934a, http://journalofvision.org/7/9/934/, doi:10.1167/7.9.934. [CrossRef]
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×