Scanpath

• Abstract
  The scanpath eye movement is an essential part in human vision. The scanpath theory explains that an internal cognitive model in human brain controls a top-down active looking and bottom-up perception. We have been studying how the scanpath changes as a function of class of image observed by human. We have obtained the human visual regions-of-interests, hROIs, by psychophysical experiments; and compared them using the positional similarity index, Sp. We have also tried to find how the predictability of the hROIs by image processing algorithms, IPAs, can change on the scanpath. We have compared algorithmic regions-of-interest, aROIs, which are generated by the IPAs, with the hROIs for image classes.

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• Pictures used in the experiments

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• Publications and Presentations

  • Toyomi Fujita, Claudio M. Privitera, Lawrence W. Stark, "Image-type dependent eigen-Regions-of-interest define conspicuity operators for predicting human scanpath fixation", Computers in Biology and Medicine, Volume 37 Issue 7 pp.965-974 (July 2007). [DOI ]

  • Claudio M. Privitera, Orazio Gallo, Giorgio Grimoldi, Toyomi Fujita, Lawrence W. Stark, "Combining conspicuity maps for hROIs prediction", 2nd International Workshop on Attention and Performance in Computational Vision (WAPCV 2004), pp.104-111, 2004. [PDF File ]

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