Calibration of Cameras and Fringe Pattern Projectors in the Vision System for Positioning of Workpieces on the CNC Machines

Author:

Domek Stefan1,Dworak Paweł1,Grudziński Marek1,Okarma Krzysztof1

Affiliation:

1. West Pomeranian University of Technology Szczecin

Abstract

Application of machine vision in automation, robotics and mechatronic systems is one of the most rapidly developing areas of industrial and applied computer science. The vision system presented in the paper can be used for automatic positioning of the workpieces on the numerically controlled machines. The idea of the system is based on the 3D scanning using the fringe patterns approach [ but its accuracy strongly depends on the lighting conditions and the proper calibration of the whole vision system. The most crucial elements for the calibration are both cameras and structural light projectors, as well as the overall geometrical configuration (external parameters in the common coordinate system) and the compensation of the brightness nonlinearities introduced by the structural light sources. In the paper some methods used for the calibration of the experimental system and obtained results are presented.

Publisher

Trans Tech Publications, Ltd.

Subject

Condensed Matter Physics,General Materials Science,Atomic and Molecular Physics, and Optics

Reference5 articles.

1. G.H. Notni, G. Notni, Digital fringe projection in 3D shape measurement – an error analysis. Proceedings of SPIE 5144 (2003) 372-380.

2. T.A. Clarke, J.G. Fryer, The development of camera calibration methods and models. Photogrammetric Record 16(91) (1998) 51-66.

3. J. Bouguet, Camera Calibration Toolbox. www. vision. caltech. edu/bouguetj/calib_doc (2005).

4. Ch. Harris, M. Stephens, A combined corner and edge detection, in: proceedings of the 4th Alvey Vision Conference – AVC, Manchester, UK, (1988).

5. S. Zhang, High-resolution, real-time 3-D shape measurement, PhD thesis, Stony Brook University, (2005).

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