Measurement of mirror surfaces using specular reflection and analytical computation

Zhenzhou Wang, Xinyu Huang, Ruigang Yang, Yuming Zhang

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In many applications, it is desirable to know three-dimensional information of mirror surfaces. However, the reflective characteristic of mirror surfaces makes many traditional three-dimensional reconstruction methods, such as stereovision or structured light scanning, fail. In this paper, a novel method is proposed to measure mirror surfaces. It is implemented with practical hardware and software that directly obtain analytic solutions for three-dimensional points on a mirror surface. Experimental results verified the effectiveness of the proposed method. In particular, this proposed method aims at providing an effective method to reconstruct specular weld pool surfaces which typically are highly dynamic and irregular. The capability to directly obtain analytic solutions for a set of points from a mirror surface as proposed and developed in this paper is a key to effectively measuring such highly dynamic and irregular mirror surfaces.

Original languageEnglish
Pages (from-to)289-304
Number of pages16
JournalMachine Vision and Applications
Volume24
Issue number2
DOIs
StatePublished - Feb 2013

Funding

FundersFunder number
National Science Foundation (NSF)0927707

    Keywords

    • Image processing
    • Imaging
    • Specular surface
    • Three-dimensional shape
    • Vision
    • Welding

    ASJC Scopus subject areas

    • Software
    • Hardware and Architecture
    • Computer Vision and Pattern Recognition
    • Computer Science Applications

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