Geometrical pose and structural estimation from a single image for automatic inspection of filter components

Yonghuai Liu; Marcos Aurelio Rodrigues

doi:10.1117/12.380087

21 March 2000 Geometrical pose and structural estimation from a single image for automatic inspection of filter components

Yonghuai Liu, Marcos Aurelio Rodrigues

Author Affiliations +

Proceedings Volume 3966, Machine Vision Applications in Industrial Inspection VIII; (2000) https://doi.org/10.1117/12.380087
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

Yonghuai Liu and Marcos Aurelio Rodrigues "Geometrical pose and structural estimation from a single image for automatic inspection of filter components", Proc. SPIE 3966, Machine Vision Applications in Industrial Inspection VIII, (21 March 2000); https://doi.org/10.1117/12.380087

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