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The precision of machine vision calibration is affected by those factors such as the loss of depth information, distortion of camera lens, and errors caused by image processing. In this paper machine vision system is developed by means of BP neural network with self- learning. There are 4 inputs, which are the image coordinates of a match point in left and right camera, and 3 outputs in the network...
Because of the loss of depth information, distortion of lens and so on, all make the camera model nonlinear. RBF neural networks which can approximate any non-linear function are adopted to describe relations between 3-D feature points and corresponding image point in left and right cameras. While the network is trained, sum of squared differences between outputs of network and actual coordinates...
In the first place mathematic model of manipulator is established according to the dynamic theories. Then self-adaptive PD controller is designed in lined with its disturbance's supremum which is not ascertain. The self-adaptive PD controller could make the systems' PD feedback control take main effects, which could avoid too large initial torque while the initial errors is large at first, while the...
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