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Proceedings Paper

Bidirectional template matching for 3D CAD-based inspection
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Paper Abstract

We present an efficient technique that uses bidirectional template matching for gross defect detection in 3D objects. The template matching utilizes computer-aided design models and is carried out on 3D data formed by merging range data collected from multiple known viewpoints. The inspection scheme assumes that the identity of the object is known but that the object's position is unknown, although constrained. A matching technique based on the Hausdorff distance is used to determine the pose of the object. The inspection scheme is tested on real range images of several iron castings.

Paper Details

Date Published: 11 March 1994
PDF: 9 pages
Proc. SPIE 2183, Machine Vision Applications in Industrial Inspection II, (11 March 1994); doi: 10.1117/12.171215
Show Author Affiliations
Timothy S. Newman, Michigan State Univ. (United States)
Anil K. Jain, Michigan State Univ. (United States)


Published in SPIE Proceedings Vol. 2183:
Machine Vision Applications in Industrial Inspection II
Benjamin M. Dawson; Stephen S. Wilson; Frederick Y. Wu, Editor(s)

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