Title :
The geometry of visual interception
Author :
Huang, Liuqing ; Aloimonos, Yiannis
Author_Institution :
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
Abstract :
Under the traditional paradigm of considering vision as a recovery problem, visual interception is just another application of the structure-from-motion module. However, the inherent difficulties of three-dimensional reconstruction have delayed any real-time applications. The authors offer a robust solution under the active qualitative vision paradigm. From the image intensity function, they obtain the locomotive intrinsics of the agent and the target. Based on this relative information, they present a control strategy that decides in real time whether the velocity of the agent should be increased or decreased at any time instant, thus guiding the agent to intercept the target. The problem of visual interception can thus be solved by simple computation without correspondence
Keywords :
motion estimation; position control; real-time systems; tracking; active qualitative vision; image intensity function; locomotive intrinsics; real-time applications; recovery problem; structure-from-motion module; three-dimensional reconstruction; visual interception; Application software; Automation; Cameras; Computer science; Computer vision; Educational institutions; Geometry; Humans; Image reconstruction; Laboratories;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223185