Fast 3D laser scanning of highly reflective surfaces based on a dual-camera system

Abstract

Existing laser scanning approaches for highly reflective surfaces generally require multiple scans to cope with specular reflection. This paper proposes a dual-camera, line-laser scanning strategy to reconstruct them efficiently, which only needs a single scanning path. To bypass complicated point cloud processing algorithms for outlier elimination, a feasible image processing scheme was designed to delete the disturbed stripe regions. By merging two sets of point clouds computed from residual stripes on a common world frame, these removed noise patches can be compensated by the opposite camera. Therefore, the data fusion result can reconstruct the 3D geometry of targets completely. Experimental results demonstrate good performance with the ability to handle highly reflective surfaces. The scanning period is significantly shortened and scanning accuracy can meet the industrial requirement.

KEYWORDS:

• Three-dimensional measurement
• line laser scanning
• highly reflective surface
• dual-camera system
• data fusion

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number 61661034,51765049], Foundation of Key Laboratory of Nondestructive Testing (Nanchang HangkongUniversity), Ministry of Education [grant number EW201908087], Foundation of Key Laboratory of Jiangxi Province for image processing and pattern recognition, Nanchang Hangkong University [grant number ET201908399], Graduate Innovation Fund of Nanchang Hangkong University [grant number YC2019047].