Parameter Matching for 3D Images by a Real 3D Display System with Sensors

Abstract

In this paper, we describe several key problems in the design of a real 3D display system with sensors (RDSS) and details of matching the parameters to generate 3D images. We also illustrate the feasibility of using light fields to reconstruct 3D images. Additionally, we propose a real 3D display based on optical field reconstruction that also solves the problems of fuzzy images and low mechanical stability caused by the scattering characteristics in an optical field display. We acquire images through sensors and project them to a high-speed rotating mirror through digital light processing (DLP) after computer processing. At the same time, DLP is used to project images to the horizontal space, so that they can be observed by human eyes without auxiliary equipment. We find the best parameters for achieving a clear and stable image by comparing different experimental data. The matching parameters provided in this study can greatly reduce the cost of real 3D display systems that are easily usable and realizable and can be widely used in advertising, exhibitions, and other applications.