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- W4382246107 abstract "Digital Light Processing (DLP) 3D printing is implemented by projecting the image of the slice of the model on the exposure surface, and the projected image's accuracy will influence the printed object's quality. It is necessary to maintain the accuracy of the projected image. A prerequisite for high-precision printing is that the projector is horizontal. The existing methods calibrate the levelness of the projector by observing the level meter; the calibration precision cannot be guaranteed. In this paper, a vision-based scheme is proposed to evaluate the levelness of a projector and to estimate the rotation angles. Firstly, the hardware is designed to capture the projected image on the exposure surface. A pixel in the projected image is about 74*74 pixels in the captured image. Secondly, the possible variation of pixel relation in different situations is analyzed in theory. Then, the variation of pixel distance (or slope) by tilt angle is further analyzed. The corresponding variation curves are obtained by curve fitting. Finally, based on the corresponding curves, the tilt direction and angle of the projector can be estimated from the captured image. The experimental results demonstrate that the average error of the estimated tilt angle is smaller than 0.2 degrees." @default.
- W4382246107 created "2023-06-28" @default.
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- W4382246107 date "2023-06-27" @default.
- W4382246107 modified "2023-09-27" @default.
- W4382246107 title "A novel vision-based scheme to levelness estimation of DLP projector" @default.
- W4382246107 doi "https://doi.org/10.1117/12.2680165" @default.
- W4382246107 hasPublicationYear "2023" @default.
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