A survey of sensor planning in computer vision
Tarabanis
Konstantinos
author
Columbia University. Computer Science
Allen
Peter K.
author
Columbia University. Computer Science
Tsai
Roger Y.
author
Columbia University. Computer Science
originator
text
Articles
1995
English
A survey of research in the area of vision sensor planning is presented. The problem can be summarized as follows: given information about the environment as well as information about the task that the vision system is to accomplish, develop strategies to automatically determine sensor parameter values that achieve this task with a certain degree of satisfaction. With such strategies, sensor parameters values can be selected and can be purposefully changed in order to effectively perform the task at hand. The focus here is on vision sensor planning for the task of robustly detecting object features. For this task, camera and illumination parameters such as position, orientation, and optical settings are determined so that object features are, for example, visible, in focus, within the sensor field of view, magnified as required, and imaged with sufficient contrast. References to, and a brief description of, representative sensing strategies for the tasks of object recognition and scene reconstruction are also presented. For these tasks, sensor configurations are sought that will prove most useful when trying to identify an object or reconstruct a scene.
Robotics
IEEE Transactions on Robotics and Automation
11
1
86
104
1995-02
http://dx.doi.org/10.1109/70.345940
http://hdl.handle.net/10022/AC:P:15074
NNC
NNC
2012-10-25 12:09:17 -0400
2012-10-25 12:19:33 -0400
9072
eng