Object Recognition and Localization Based on Binocular Stereo Vision

In order to obtain the three-dimensional position of the target, and then measure the trajectory of the moving target, the problem of target recognition and positioning based on binocular stereo vision is studied. A binocular stereo vision system is built and MATLAB software is used to complete the calibration of the system. Through the checkerboard calibration method, the internal and external para-meters, relative attitude and distortion parameters of the left and right cameras are obtained. In the stereo matching stage, the image is preprocessed first, the RANSAC algorithm is used to eliminate the mismatch, and then the SIFT and SURF feature recognition algorithms are used to match the left and right images, and the pixel coordinates of the corresponding points are obtained, and then the three-dimensional space coordinates of the target point are obtained. and compared the measurement accuracy of the two feature recognition algorithms. The experimental results show that the method can accurately locate the target point and has high precision.