DocumentCode
3317232
Title
Calibration-free visual control using projective invariance
Author
Hager, Gregory D.
Author_Institution
Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA
fYear
1995
fDate
20-23 Jun 1995
Firstpage
1009
Lastpage
1015
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location
Cambridge, MA
Print_ISBN
0-8186-7042-8
Type
conf
DOI
10.1109/ICCV.1995.466824
Filename
466824
Link To Document