Highly Reflective Surface Measurement Based On Dual Stereo Monocular Structured Light System Fusion 3D surface measurement plays an important role in robotics. In this paper, we provide a highly reflective surface measurement method based on combination of dual stereo monocular structured light system fusion. A predetermined rigid transformation matrix is utilized to improve fusion quality for the fusion area. Moreover, a final decision map is created to avoid the reconstruction of repeating regions of left and right system for ensuring the accuracy of the nonfusion area to achieve monocular system accuracy. The validity and accuracy of our algorithm are verified by designed experiments. Furthermore, various complex objects are measured including a metal surface, a phone case and a motor component, which show the proposed method has the capability to solve the highly reflective surface measurement problem and the occlusion problem.

Accurate 3D Measurement of Highly Specular Surface using Laser and Stereo Reconstruction In the production line, Inspection and Quality Control are essential to maintain the quality of the products. Same as the manufacturing process, the process of quality checking should also be automatic 1. In addition to automation in quality checking, the process needs to be simple, fast, accurate and costeffective. Machine vision is the technology and methods used to provide imagingbased automatic inspection and analysis 2. However, Reflective Surface of the object puts some limitations on traditional methods of machine vision. This research paper focuses on the development of a simple and accurate 3D measuring system for the inspection of reflective surface objects. The idea is to combine the concepts of stereo vision and sheet of light techniques. The main advantage of this method is that it overcomes the limitations of traditional methods and works robustly in ambient lighting condition. In this paper, we described a number of experiments carried out on different shapes and sizes of reflective surface objects using the proposed method. The qualitative and quantitative reconstructed 3D profiles of different shapes of reflective surface objects are shown. In the end, the results are compared with the ground truth threedimensional model of the acquited objects for accuracy evaluation.