Title :
Sensor planning for a trinocular active vision system
Author :
Lehel, Peter ; Hemayed, Elsayed E. ; Farag, Aly A.
Author_Institution :
CVIP Lab., Louisville Univ., KY, USA
Abstract :
We present an algorithm to solve the sensor planning problem for a trinocular, active vision system. This algorithm uses an iterative optimization method to first solve for the translation between the three cameras and then uses this result to solve for parameters such as pan, tilt angles of the cameras and zoom setting
Keywords :
active vision; iterative optimization; sensor planning; trinocular active vision; zoom setting; Cameras; Humans; Iterative algorithms; Machine vision; Mechanical factors; Mechanical sensors; Robot sensing systems; Robot vision systems; Sensor systems; System testing;
Conference_Titel :
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location :
Fort Collins, CO
Print_ISBN :
0-7695-0149-4
DOI :
10.1109/CVPR.1999.784649
