Presentation + Paper
31 May 2022 Toward high accuracy measurements in structured light systems
Author Affiliations +
Abstract
In structured-light systems, the lens distortions of the camera and the projector reduce the measurement accuracy when calibrated as a standard stereo-vision system. The conventional compensation via distortion coefficients reduces the error, but still leaves a significant residual. Recently, we proposed a hybrid calibration procedure that leverages the standard calibration approach to improve measurement accuracy. This hybrid procedure consisted of building a pixel-wise phase-to-coordinate mapping based on adjusted 3D data obtained from the standard stereo-vision method. Here, we show experimentally that the measurement accuracy can be significantly improved, even using the linear pinhole model and linear mapping functions. We then move to consider the nonlinear model to improve the measurement accuracy further. Encouraging results show that this new calibration method increases the measurement accuracy without requiring elaborate calibration procedures or sophisticated ancillary equipment.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raul Vargas, Lenny A. Romero, Song Zhang, and Andres G. Marrugo "Toward high accuracy measurements in structured light systems", Proc. SPIE 12098, Dimensional Optical Metrology and Inspection for Practical Applications XI, 120980A (31 May 2022); https://doi.org/10.1117/12.2618922
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KEYWORDS
Calibration

3D modeling

Systems modeling

Cameras

Imaging systems

Structured light

Projection systems

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