The research of camera distortion correction basing on neural network

Camera distortion correction is an important part of the camera calibration. Because camera distortion model is too difficult to be established, the BP neural network is used in camera distortion correction. The Hybrid algorithm which is the BP algorithm with PSO algorithm and chaos is introduced to the camera distortion correction. Weights and thresholds is optimized by the hybrid algorithm, and this hybrid algorithm can jump out of local optimum. So camera distortion is corrected by the hybrid algorithm.