Least Squares Support Vector Machines(LS-SVM) are used to learn the relationships between the image information and the 3D information,which doesn't need to confirm internal and external parameters of the camera.In the case of binocular vision,the location relationship between the two cameras is implicated in the map relations.According to the LS-SVM and camera calibration characteristic,a new method of camera calibration for stereo vision based on the LS-SVM is proposed.The image pixel coordinate which gathers from the camera is made as input,the world coordinate is be used as output,and the given mapping relation of network realization is completed by the LS-SVM.The comparison with BP neural network shows that the calibration accuracy can be improved by using the LS-SVM.The real-time performance is good and response velocity is quick.