Abstract
In structure light measurement systems or 3D printing systems, the errors caused by optical distortion of a digital projector always affect the precision performance and cannot be ignored. Existing methods to calibrate the projection distortion rely on calibration plate and photogrammetry, so the calibration performance is largely affected by the quality of the plate and the imaging system. This paper proposes a new projector calibration approach that makes use of photodiodes to directly detect the light emitted from a digital projector. By analyzing the output sequence of the photoelectric module, the pixel coordinates can be accurately obtained by the curve fitting method. A polynomial distortion representation is employed to reduce the residuals of the traditional distortion representation model. Experimental results and performance evaluation show that the proposed calibration method is able to avoid most of the disadvantages in traditional methods and achieves a higher accuracy. This proposed method is also practically applicable to evaluate the geometric optical performance of other optical projection system.
Highlights
Digital projectors are widely used in several fields such as projecting displays, structure light measurement [1] and 3D printing systems [2]
Compared with the method based on camera imaging and classic distortion models, the proposed method has smaller residual
Experimental results show that the proposed method is able to provide a more precise distortion representation than the existing methods with camera
Summary
Digital projectors are widely used in several fields such as projecting displays, structure light measurement [1] and 3D printing systems [2]. Many methods are created to improve the performance of the digital projector like acquiring higher accuracy, higher speed and more convenience. Due to the different specified applications and the non-ideal optical systems, digital projectors should be calibrated before working. Many image lens calibration approaches are proposed to meet the requirements of various applications. Compared with the projecting display application, some applications (e.g., 3D printing, structure light measuring and projecting instructing) require higher accuracies of the projecting image. Precise and reliable methods should be applied on these accuracy sensitive applications
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