Title :
A survey of selective fixation control for machine vision
Author_Institution :
Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
Relevant research in human vision is summarized. Computational models for selective fixation control, most of which have begun to emerge only in recent years, are discussed. The methods examined involve several visual and nonvisual criteria, and the resulting sensing strategies are highly goal dependent. Both biological and machine vision are considered.<>
Keywords :
computer vision; vision; human vision; machine vision; nonvisual criteria; selective fixation control; sensing strategies; visual criteria; Automatic control; Cameras; Computational modeling; Computer vision; Face recognition; Humans; Image analysis; Machine vision; Target tracking; Visual perception;
Journal_Title :
Control Systems, IEEE
