基于SURF算法的双目视觉立体匹配研究

针对双目视觉立体匹配效率低的问题,从SURF匹配算法和摄像机标定、校准方面进行了改进。与传统视觉匹配算法相比,SURF匹配算法具有效率高、抗干扰能力强等优点。对摄像机进行标定与校准,校准后的特征点更精确,为准确匹配奠定了基础。利用极线约束条件改进SURF算法匹配速率,并进行了相关实验。实验结果表明,算法不仅降低了匹配时间,而且还提高了匹配准确率。

Research on Binocular Vision Stereo Matching Based on SURF Algorithm

In view of the low efficiency of binocular visual stereo matching, an improvement has thus been made of SURF matching algorithm and camera calibration and calibration. Compared with the traditional visual matching algorithm, SURF matching algorithm is characterized with such advantages as high efficiency and strong anti-interference ability. After the calibration of the camera, the feature points become more accurate, which lays the foundation for an accurate matching.The polar line constraints have been used to improve the SURF algorithm matching rate, with relevant experiments carried out. Experimental results show that the algorithm not only reduces the matching time, but also improves the matching accuracy.