针对三维空间中目标物体定位的问题, 提出了一种结构简单、操作方便、性价比较高的单摄像机实现双目立体视觉定位的方法。在对目标物体的识别和定位中, 利用各方面性能和指标都比较好的SURF算法对所获取的图像进行特征点的提取和匹配; 针对匹配过程中存在的误匹配现象, 又对SURF算法做了改进。实验结果表明, 基于改进SURF算法的单目转双目视觉定位, 不论是在定位的精度, 还是在时间、速度方面都表现出了较好的可行性与实用性, 具有一定的实际应用价值。

Aiming at the issue of object location in 3D space, we proposed a method to realize binocular visual positioning with single camera, which is simple, convenient in operation and cost-effective. We used the SURF algorithm for image feature point extracting and matching in the process of object recognition and locating, since the algorithm has good performance in all respects. In order to reduce error matching in the matching process, improvement was made to the SURF algorithm. The experimental result indicate that, the method of monocular to binocular visual positioning based on improved SURF algorithm has fine feasibility and practicability both in accuracy of positioning and in time cost, which is of a certain practical value.