Open AccessOptimal binary representation via non-convex optimization on tomographic displays
Author(s) -
Suyeon Choi,
Seungjae Lee,
Youngjin Jo,
Dongheon Yoo,
Dongyeon Kim,
Byoungho Lee
Publication year - 2019
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.024362
Subject(s) - computer science , computer vision , rendering (computer graphics) , artificial intelligence , focus (optics) , binary number , image formation , high dynamic range , optics , computer graphics (images) , dynamic range , image (mathematics) , mathematics , physics , arithmetic
There have been many recent developments in 3D display technology to provide correct accommodation cues over an extended focus range. To this end, those displays rely on scene decomposition algorithms to reproduce accurate occlusion boundaries as well asretinal defocus blur. Recently, tomographic displays have been proposed with improved trade-offs of focus range, spatial resolution, and exit-pupil. The advantage of the system partly stems from a high-speed backlight modulation system based on a digital micromirror device, which only supports 1-bit images. However, its inherent binary constraint hinders achieving the optimal scene decomposition, thus leaving boundary artifacts. In this work, we present a technique for synthesizing optimal imagery of general 3D scenes with occlusion on tomographic displays. Requiring no prior knowledge of the scene geometry, our technique addresses the blending issue via non-convex optimization, inspired by recent studies in discrete tomography. Also, we present a general framework for this rendering algorithm and demonstrate the utility of the technique for volumetric display systems with binary representation.