Polynomial-fitting based calibration for an active 3D sensing system using dynamic light section method

Mikihiro Ikura; Sarthak Pathak; Atsushi Yamashita; Hajime Asama

doi:10.1117/12.2590827

16 July 2021 Polynomial-fitting based calibration for an active 3D sensing system using dynamic light section method

Mikihiro Ikura, Sarthak Pathak, Atsushi Yamashita, Hajime Asama

Proceedings Volume 11794, Fifteenth International Conference on Quality Control by Artificial Vision; 117940J (2021) https://doi.org/10.1117/12.2590827
Event: Fifteenth International Conference on Quality Control by Artificial Vision, 2021, Tokushima, Japan

Abstract

This paper proposes a polynomial-fitting based calibration method for an active 3D sensing using a dynamic light section method. In the dynamic light section method, the relative position of the line laser is dynamically changed at high speed to extend the measurement area with a low computational cost. To conduct 3D sensing, it is necessary to find the equation of the laser plane. In the proposed calibration method, a part of the line laser is irradiated on a reference plane fixed in the 3D sensing system, and correspondences between the normal vectors of the line laser and the image coordinates of the bright point on the reference plane are obtained. Then, the correspondences are regressed to a polynomial function. As a result, the plane equation of the line laser can be obtained at any given moment without considering the complicated system model. Through the measurement accuracy evaluation of the dynamic light section method calibrated by the polynomial fitting, we showed that a measurement target at a distance of 800 mm can be measured with an accuracy of an average of -5.94 mm and a standard deviation of 13.19 mm by rotating the line laser at 210 rpm.

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Mikihiro Ikura, Sarthak Pathak, Atsushi Yamashita, and Hajime Asama "Polynomial-fitting based calibration for an active 3D sensing system using dynamic light section method", Proc. SPIE 11794, Fifteenth International Conference on Quality Control by Artificial Vision, 117940J (16 July 2021); https://doi.org/10.1117/12.2590827

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KEYWORDS

Three dimensional sensing

Sensing systems

Calibration

Cameras

Dynamical systems

3D metrology

Atomic force microscopy

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