Abstract

In this paper, we propose a multiview 3D display calibration algorithm that compensates for misalignment between constituent layers. To minimize distortion of the 3D image due to misalignment, we employ an iterative algorithm using camera feedback. We first establish a mathematical model for the multiview display and predict distortion of a test image pattern due to misalignment. Then, we define two characteristic features of the feedback camera image that indicate the status of the alignment. Based on the mathematical model, we design a compensation algorithm that consists of cascaded one-dimensional root-finding blocks for two-dimensional optimization. Finally, we experimentally verify the image distortion model, convergence of the iterative algorithm, and image quality improvement. The accuracy of the proposed algorithm exceeds the required accuracy for linear extrinsic crosstalk compensation.

© 2018 Optical Society of America

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