Title :
Computing viewpoints that satisfy optical constraints
Author :
Tarabanis, Konstantinos ; Tsai, Roger Y.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Abstract :
The authors present techniques with which camera viewpoints can be automatically determined in order to satisfy the generic feature detectability requirements of resolution, focus, and field-of-view. These optical constraints are characterized analytically for a general thick lens model, and complete viewpoint loci that satisfy these constraints are obtained. The results discussed are useful for automating the vision system design process, as well as for programming the vision system itself. In addition, such planning techniques can also automate robot imaging systems that reconfigure themselves in an intelligent manner in order to optimize imaging quality
Keywords :
computer vision; computerised pattern recognition; robots; camera viewpoints; feature detectability; field-of-view; focus; imaging quality; optical constraints; planning; resolution; robot imaging systems; thick lens model; viewpoint loci; vision system design; Automatic programming; Cameras; Computer vision; Focusing; Intelligent robots; Lenses; Machine vision; Optical computing; Optical imaging; Robot programming;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139678