Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Design and analysis of full-scale scanning system for curved glass based on motion and 3D features

Not Accessible

Your library or personal account may give you access

Abstract

In recent years, mobile phones with glass curved screens have become more and more widely used. The irregular shape of the curved screen and the light transmittance characteristic of the glass have brought great challenges to its automatic defect detection. Aiming at the defect detection of the glass cover of the curved screen, this paper designs a full-scale scanning system by combining motion and three-dimensional (3D) features. First, a scanning system is constructed, and a geometric error modeling method is proposed to improve the accuracy of the scanning system; second, based on the point cloud of the 3D glass cover obtained by the scanning system, a point cloud registration method is presented by integrating the motion and 3D features; finally, the laser tracker is further used to calibrate the scanning system to analyze the mechanical error. Experimental results show that the introduction of straightness error and perpendicularity error can effectively solve the mismatch and fault problems of point cloud registration, and improve the accuracy of the scanning system. In addition, the registration method proposed in this paper can effectively reconstruct the complete point cloud of 3D glass cover for detection. The reconstruction accuracy of the plane part can reach 0.031 mm, and that of the curved part can reach 0.091 mm.

© 2020 Optical Society of America

Full Article  |  PDF Article
More Like This
Three-dimensional reconstruction method based on bionic active sensing in precision assembly

Zihao Ding, Hui Xu, Guodong Chen, Zheng Wang, Wenzheng Chi, Heng Zhang, Zhenhua Wang, Lining Sun, Guilin Yang, and Yifang Wen
Appl. Opt. 59(3) 846-856 (2020)

Bilayer synchronous measuring method of curved screen based on a line-structured light-scanning sensor

Changshuai Fang, Linlin Zhu, Ning Yan, and Xiaodong Zhang
Appl. Opt. 59(4) 929-939 (2020)

3D reconstruction and positioning of surface features based on a monocular camera and geometric constraints

Guanyu Hou, Weibin Zhang, Bin Wu, and Rongfang He
Appl. Opt. 61(6) C27-C36 (2022)

Supplementary Material (5)

NameDescription
Code 1       Calculate the positioning error of X-axis
Code 2       Calculate the straightness error of X-axis
Code 3       Calculate the rotation error of X-axis
Data File 1       Calculate the Straightness error and Angle error of X-axis
Data File 2       The results of ICP algorithm and our proposed algorithm are compared

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (10)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (6)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (11)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved