基于SURF算法的单目转双目视觉定位

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.实验结果表明,文中使用的基于SURF算法的单目转双目视觉定位的方法,不论是在定位的精度,还是在时间速度方面都表现出了很好的可行性与实用性,具有一定的现实利用价值.

Monocular to Realize Binocular Visual Positioning Based on SURF Algorithm

On the issue of the target object location in three-dimensional space, this paper proposes a method to realize binocular visual positioning with monocular, this method is simple, convenient operation and cost-effective. Because SURF algorithm has better performance and indicators in all respects, so we make use of SURF algorithm to realize the image feature point extraction and matching in the process of object target recognition and locating. The experimental result indicates, the method of monocular to realise binocular visual positioning based on SURF algorithm, both in accuracy of positioning, and in speed of time shows good feasibility and practicability, it has a certain practical value.