关键词: 双摄像机标定, 自适应, 多层前馈网络, Harris角点

Abstract: Camera calibration is an important step in computer vision，the traditional calibration methods need to acquire the intrinsic and extrinsic parameters and the process is quite complicated，so self-adaptive neural network is used to learn the relationship between the image coordinates and the space coordinates.The generalization ability is improved a lot by the following methods：modify Harris corner extraction algorithm to improve the training data accuracy，choose the number of the middle layer cells adaptively through program，and combine normalization and stopped training strategies.At last，comparing with the traditional calibration method，the test result shows that this method is available and has higher precision for binocular camera calibration.

Key words: binocular camera calibration, self-adaptive, Back Propagation（BP） network, harris corner