it's necessary to introduce the sensor planning strategies to improve the measurement accuracy. Sensor planning is a new research area in computer vision. Planning the parameters of camera and illumination purposefully can make task be performed effectively. In this paper some affecting factors which are essential to sensor planning are analyzed firstly. They are the parameters of camera and illumination
constrain of feature detectability
the models of sensor and object. After some specific sensor planning systems were summarized
the sensor planning systems are classified based on the methods they used
the goals
the number of sensors and a prior information. Then the problem of sensor planning is concluded to the optimization process which can be done in high dimensional space composed of the parameters of camera
lens
illumination and object models. Finally we show some possible developing directions
namely single camera system in active machine vision
multi camera network design solution
new optimization and combinatorial search method
rebuilding the uncertainty of characters and multi sensor data fusion.