A 3D Reconstruction Method Based on Stereo Target Location
CHEN Yuan1,LUO Zai1,YANG Li2,JIANG Wensong1
1. School of Metrology and Test Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
2. School of Information Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
Abstract：In order to solve the problem of large data splicing error caused by lack of feature information of line laser sensor, a method of line laser data splicing based on stereoscopic target positioning is proposed. The target point library is constructed by the spatial geometry constraint of binocular stereo vision, and the position calibration of stereo target coordinate system and linear laser coordinate system is realized. Canny edge detection, sub-pixel edge extraction, ellipse fitting and other algorithms are used to identify and locate circular feature points. The homologous points of the collected local landmarks are matched with the target point library, the real-time pose of the line laser sensor is calculated. The initial coordinates of line laser are unified with the global coordinate system by coordinate system transformation, and the three-dimensional reconstruction of point cloud is realized. The experimental results show that the average absolute error of target calibration is 0.078mm, the average fitting error of the measured standard parts is 0.127mm. Compared with the Coordinates Measuring Machine (CMM), the average measuring error of this method is 0.165mm. Compared with the results of robot positioning splicing and depth camera measurement, the measurement system built has smaller average measurement error and standard deviation, which can meet the demand of real-time multi-angle scanning of complex surfaces.
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2024, Vol. 45 
