Title :
Low resolution cues for guiding saccadic eye movements
Author :
Swain, Michael J. ; Kahn, Roger E. ; Ballard, Dana H.
Author_Institution :
Dept. of Comput. Sci., Chicago Univ., IL, USA
Abstract :
The high-resolution field of view of the human eye only covers a tiny fraction of the total field of view, which allows for great economy in computational resources but forces the visual system to solve other problems that would not exist with uniformly high resolution. One of these is how to determine where to redirect the fovea, given only the low-resolution information available in the periphery. The advent of spatially variant receptor arrays for cameras has made it imperative that computational solutions to this problem be found. Color has been traditionally associated with foveal vision, but it is shown that color cues are well preserved under low resolution, and an algorithm for locating objects based on color histograms that is both effective under low resolution and computationally efficient is illustrated
Keywords :
biomechanics; computer vision; eye; cameras; color cues; color histograms; field of view; fovea redirection; foveal vision; human eye; low resolution cues; object location algorithm; saccadic eye movements; spatially variant receptor arrays; Computer science; Computer vision; Control systems; High speed optical techniques; Histograms; Humans; Optical sensors; Sensor systems; Spatial resolution; Visual system;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223186