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Proceedings Paper

3D processing of range image data for vision applications in manufacturing
Author(s): Dongming Zhao; Songtao Li; Jin Deng
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Paper Abstract

3D data present pertinent information about geometrical features of an object. It has been a classical approach that image data acquired by range sensors are processed as traditional 2.5D images. Range data have rich information that needs some special treatment in order to fully understand and utilize them. In this report, two case studies are presented to investigate the 3D aspects of range data and applied them to solve practical problems in manufacturing environment. The first case is the classical `pick and place' problem where the range data were taken on the holding rack of car doors and there is a need to identify multiple holding points accurately, with the rack almost taking entire field of view and traditional image processing approach invalid. The second case is the range data correction and sub-pixel patch with large field of view. The applications are in automated quality assessment. Two approaches are from different vision solutions with one objective that is to process range image data with 3D representation instead of that of traditional 2.5D.

Paper Details

Date Published: 6 October 1998
PDF: 6 pages
Proc. SPIE 3521, Machine Vision Systems for Inspection and Metrology VII, (6 October 1998); doi: 10.1117/12.326979
Show Author Affiliations
Dongming Zhao, Univ. of Michigan/Dearborn (United States)
Songtao Li, Univ. of Michigan/Dearborn (United States)
Jin Deng, Univ. of Michigan/Dearborn (United States)


Published in SPIE Proceedings Vol. 3521:
Machine Vision Systems for Inspection and Metrology VII
Bruce G. Batchelor; John W. V. Miller; Susan Snell Solomon, Editor(s)

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