Title :
Optimal camera placement for an active-vision system
Author :
He, X. ; Benhabib, B. ; Smith, K.C. ; Safaee-Rad, R.
Author_Institution :
Toronto Univ., Ont., Canada
Abstract :
Image-analysis in an industrial environment can be simplified by premarking the objects using artificial markers and active vision to acquire prespecified views of these objects. In this context, a problem addressed is the determination of the initial locations of the cameras (including one mobile camera) such that marker(s) can be efficiently detected. A method for determining the optimal number of cameras and their best locations is presented, given the objects´ geometries and the positions of markers on them. Such an optimal camera arrangement would yield maximum detectability of markers and also satisfy a user given threshold on the probability of detecting at least one marker. Analytic-geometry, probability theory and CAD databases are used in solving this problem
Keywords :
computational geometry; computer vision; computerised pattern recognition; optimisation; probability; video cameras; CAD databases; active-vision system; analytic geometry; camera location; camera placement; computer vision; detectability; optimal camera arrangement; optimisation; probability; Cameras; Computer aided manufacturing; Computer integrated manufacturing; Image sensors; Laboratories; Manufacturing processes; Mechanical engineering; Object detection; Optical sensors; Sensor fusion;
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
DOI :
10.1109/ICSMC.1991.169663
