Abstract
The purpose of this thesis is to investigate human visual perception at the level of eye movements by describing the interaction between vision and action during natural, everyday tasks in a real-world environment. The results of the investigation provide motivation for the development of a biologically-based model of selective visual perception that relies on the relative perceptual conspicuity of certain regions within the field of view. Several experiments were designed and conducted that form the basis for the model. The experiments provide evidence that the visual system is not passive, nor is it general-purpose, but rather it is active and specific, tightly coupled to the requirements of planned behavior and action. The implication for an active and task-specific visual system is that an explicit representation of the environment can be eschewed in favor of a compact representation with large potential savings in computational efficiency. The compact representation is in the form of a topographic map of relative perceptual conspicuity values. Other recent attempts at compact scene representations have focused mainly on low-level maps that code certain salient features of the scene including color, edges, and luminance. This study has found that the low-level maps do not correlate well with subjects' fixation locations, therefore, a map of perceptual conspicuity is presented that incorporates high-level information. The high-level information is in the form of figure/ground segmentation, potential object detection, and task-specific location bias. The resulting model correlates well with the fixation densities of human viewers of natural scenes, and can be used as a pre-processing module for image understanding or intelligent surveillance applications.
Library of Congress Subject Headings
Visual perception--Computer simulation; Space perception--Computer simulation; Eye--Movements--Testing
Publication Date
9-29-2003
Document Type
Dissertation
Student Type
Graduate
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Advisor
Pelz, Jeff
Advisor/Committee Member
Adams, Julie
Advisor/Committee Member
Ballard, Dana
Recommended Citation
Canosa, Roxanne, "Seeing, sensing, and selection: modeling visual perception in complex environments" (2003). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/1086
Campus
RIT – Main Campus
Comments
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: QP491 .C67 2003