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Proceedings Paper

Access round-view datacloud for three-dimensional vision inspection applications
Author(s): Huicheng Zhou; Jihong Chen; Daoshan Yang; Ji Zhou; Shawn Buckley
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Paper Abstract

In 3D inspection applications, a round-view datacloud rather than range data is needed to access the dimensions of an industrial part. This paper discusses how to acquire the round-view datacloud of a part with a structured light machine vision (SLMV) scanner. The SLMV system consists of a line- structured laser, scanning means, image grabber and computer. In this scanning system, the part to be inspected is held on a turntable to sequentially expose different sides of the part to the scanner. For each side off the part, range data is found by triangulation means. Combining range data captured from different sides into a single composite produces a more complete datacloud description of the part's surfaces. Many more dimensions of a typical part can be inspected by analyzing the composite datacloud. The scanning process is divided into two phases: part rotation and surface scanning. Once the turntable is rotated to a specified position, the laser scans the part surfaces available in that position. Data points captured from different positions are merged into one composite datacloud according to a previously found rotational center.

Paper Details

Date Published: 21 March 2000
PDF: 6 pages
Proc. SPIE 3966, Machine Vision Applications in Industrial Inspection VIII, (21 March 2000); doi: 10.1117/12.380063
Show Author Affiliations
Huicheng Zhou, Huazhong Univ. of Science and Technology (China)
Jihong Chen, Huazhong Univ. of Science and Technology (China)
Daoshan Yang, Huazhong Univ. of Science and Technology (China)
Ji Zhou, Huazhong Univ. of Science and Technology (China)
Shawn Buckley, CAITech Inc. (United States)


Published in SPIE Proceedings Vol. 3966:
Machine Vision Applications in Industrial Inspection VIII
Kenneth W. Tobin; John C. Stover, Editor(s)

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