3D Reconstruction Method of Castings Based on Monocular Image Sequences

被引：1

作者：

Zhang H. ^{[1
]}

Wang M. ^{[1
]}

Qiu H. ^{[1
]}

Jiang J. ^{[1
]}

机构：

[1] School of Mechanical & Power Engineering, Harbin University of Science & Technology, Harbin

来源：

Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2018年 / 29卷 / 23期

关键词：

3D reconstruction; Feature point matching; Monocular vision; Poisson surface reconstruction;

D O I：

10.3969/j.issn.1004-132X.2018.23.005

中图分类号：

学科分类号：

摘要：

In order to realize automatic detection and identification of casting burrs based on machine vision, a 3D reconstruction method of castings was proposed based on monocular visions. The uncalibrated cameras were multi-angle rotated to grab a set of monocular image sequences of a single target. A "two-step matching" method was used to optimize the matching of feature points of adjacent images, as a result of eliminating a large number of false matching points and improving the matching efficiency of feature points. Poisson surface reconstructed was used to refine the details of 3D surface of the castings based on the 3D reconstructed point arrays. The experimental results show that the proposed method and device are simple, without the pre-calibration of the relative position between the camera and the target, which may effectively restore the detail features of the 3D surface of the castings. The method is suitable for 3D surface reconstruction of parts in machining environment. © 2018, China Mechanical Engineering Magazine Office. All right reserved.

引用

页码：2799 / 2803and2814

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