综述了镜像双目视觉测量技术的发展现状,从测量原理及传感器、测量模型及标定、测量精度及评价等方面分析了镜像双目视觉测量结构模型,主要包括基于平面折反射的镜像双目结构和基于曲面折反射的镜像双目结构,总结了现有镜像双目测量结构在结构模型、图像获取和对应匹配等方面的优缺点,阐述了镜像双目视觉精密测量技术的发展趋势。

We propose an approach for realizing 3D reconstruction in small field of view or some extreme environments. We combine the stereo vision and the structured light technologies and change the traditional ways of ap-plying them by employing two fiber bundles. The processes of calibration and 3D reconstruction are also introduced. Experiments are performed to verify the feasibility and effectiveness of our proposed approach.

Calibrating a small field camera is a challenging task because the traditional target with visible feature points that fit the limited space is difficult and costly to manufacture. We demonstrate a novel combined target used in camera calibration. The tangent points supplied by one circle located at the center of a square are used as invisible features, and the perspective projection invariance is proved. Both visible and invisible features extracted by the proposed feature extraction algorithm are used to solve the calibration. The target supplies a sufficient number of feature points to satisfy the requirements of calibration within a limited space. Experiments show that the approach can achieve high robustness and considerable accuracy. This approach has potential for computer vision applications particularly in small fields of view.