A New Algorithm for Depth Perception in 3D Screen and Its Implementation

W. Ham, Seunghwan Kim
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引用次数: 3

Abstract

In this paper, we present a new smoothing algorithms for variable depth mapping for real time stereoscopic image for 3D displays. Proposed algorithm is based on the physical concept, called Lapacian equation and we also discuss the mapping of the depth from scene to displayed image. The approach to solve the problem in stereoscopic image which we adopt in this paper is similar to multi-region algorithm which was proposed by N.Holliman. The main difference thing in our algorithm compared with the N.Holliman's multi-region algorithm is that we use the Laplacian equation by considering the distance between viewer and object. We implement the real time stereoscopic image generation method for OpenGL on the circular polarized LCD screen to demonstrate its real functioning in the visual sensory system in human brain. Even though we make and use artificial objects by using OpenGL to simulate the proposed algorithm, we assure that this technology may be applied to stereoscopic camera system not only for personal computer system but also for public broad cast system.
三维屏幕深度感知新算法及其实现
本文提出了一种新的用于三维显示器实时立体图像变深度映射的平滑算法。该算法基于物理概念,称为Lapacian方程,并讨论了景深到显示图像的映射。本文所采用的解决立体图像问题的方法类似于N.Holliman提出的多区域算法。与N.Holliman的多区域算法相比,我们的算法主要区别在于我们考虑了观察者与目标之间的距离,使用了拉普拉斯方程。我们在圆偏振光液晶屏上实现了OpenGL实时立体图像生成方法,以展示OpenGL在人脑视觉感觉系统中的真实功能。尽管我们使用OpenGL对所提出的算法进行了仿真,但我们保证该技术不仅可以应用于个人计算机系统的立体摄像系统,也可以应用于公共广播系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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