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