Title :
Calibration-free visual control using projective invariance
Author :
Hager, Gregory D.
Author_Institution :
Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA
Abstract :
Much of the previous work on hand-eye coordination has emphasized the reconstructive aspects of vision. Recently, techniques that avoid explicit reconstruction by placing visual feedback into a control loop have been developed. When properly defined, these methods lead to calibration insensitive hand-eye coordination. Recent work on projective geometry as applied to vision is used to extend this paradigm in two ways. First, it is shown how results from projective geometry can be used to perform online calibration. Second, results on projective invariance are used to define setpoints for visual control that are independent of viewing location. These ideas are illustrated through a number of examples and have been tested on an implemented system
Keywords :
computational geometry; image reconstruction; robot vision; visual perception; calibration free visual control; calibration insensitive hand-eye coordination; calibration-free visual control; control loop; hand eye coordination; online calibration; projective geometry; projective invariance; reconstructive aspects; viewing location; visual feedback; Calibration; Cameras; Computer science; Control systems; Feedback loop; Geometry; Image reconstruction; Robot control; Stereo vision; System testing;
Conference_Titel :
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7042-8
DOI :
10.1109/ICCV.1995.466824