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Proceedings Paper

Geometrical pose and structural estimation from a single image for automatic inspection of filter components
Author(s): Yonghuai Liu; Marcos Aurelio Rodrigues
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Paper Abstract

This paper describes research on the application of machine vision techniques to a real time automatic inspection task of air filter components in a manufacturing line. A novel calibration algorithm is proposed based on a special camera setup where defective items would show a large calibration error. The algorithm makes full use of rigid constraints derived from the analysis of geometrical properties of reflected correspondence vectors which have been synthesized into a single coordinate frame and provides a closed form solution to the estimation of all parameters. For a comparative study of performance, we also developed another algorithm based on this special camera setup using epipolar geometry. A number of experiments using synthetic data have shown that the proposed algorithm is generally more accurate and robust than the epipolar geometry based algorithm and that the geometric properties of reflected correspondence vectors provide effective constraints to the calibration of rigid body transformations.

Paper Details

Date Published: 21 March 2000
PDF: 9 pages
Proc. SPIE 3966, Machine Vision Applications in Industrial Inspection VIII, (21 March 2000); doi: 10.1117/12.380087
Show Author Affiliations
Yonghuai Liu, Univ. of Hull (United Kingdom)
Marcos Aurelio Rodrigues, Univ. of Hull (United Kingdom)


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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