A 3D Measurement Method Based on Coded Image

作     者：Jinxing Niu Yayun Fu Qingsheng Hu Shaojie Yang Tao Zhang Sunil Kumar Jha 

作者机构：Institute of MechanicsNorth China University of Water Resources and Electric PowerZhengzhou450011China IT Fundamentals and Education Technologies ApplicationsUniversity of Information Technology and Management in RzeszowRzeszow100031Poland 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第69卷第11期

页      面：1839-1849页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by Henan Province Science and Technology Project under Grant No.182102210065 

主　　题：3D reconstruction structural light SAC-IA ICP voxel filtering 

摘      要：The binocular stereo vision system is often used to reconstruct 3D point clouds of an ***,it is challenging to find effective matching points in two object images with similar color or less *** will lead to mismatching by using the stereo matching algorithm to calculate the disparity *** this context,the object can’t be reconstructed *** a countermeasure,this study proposes to combine the Gray code fringe projection with the binocular camera as well as to generate denser point clouds by projecting an active light source to increase the texture of the object,which greatly reduces the reconstruction error caused by the lack of *** to the limitation of the camera viewing angle,a one-perspective binocular camera can only reconstruct the 2.5D model of an *** obtain the 3D model of an object,point clouds obtained from multiple-view images are processed by coarse registration using the coarse SAC-IA algorithm and fine registration using the ICP algorithm,which is followed by voxel filtering fusion of the point *** improve the reconstruction quality,a polarizer is mounted in front of the cameras to filter out the redundant reflected ***,the 3D model and the dimension of a vase are obtained after calibration.