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基于反向光线追踪技术和光学重建的高效计算机生成积分成像

High-efficient computer-generated integral imaging based on the backward ray-tracing technique and optical reconstruction.

作者信息

Xing Shujun, Sang Xinzhu, Yu Xunbo, Duo Chen, Pang Bo, Gao Xin, Yang Shenwu, Guan YanXin, Yan Binbin, Yuan Jinhui, Wang Kuiru

出版信息

Opt Express. 2017 Jan 9;25(1):330-338. doi: 10.1364/OE.25.000330.

Abstract

A high-efficient computer-generated integral imaging (CGII) method is presented based on the backward ray-tracing technique. In traditional CGII methods, the total rendering time is long, because a large number of cameras are established in the virtual world. The ray origin and the ray direction for every pixel in elemental image array are calculated with the backward ray-tracing technique, and the total rendering time can be noticeably reduced. The method is suitable to create high quality integral image without the pseudoscopic problem. Real time and non-real time CGII rendering images and optical reconstruction are demonstrated, and the effectiveness is verified with different types of 3D object models. Real time optical reconstruction with 90 × 90 viewpoints and the frame rate above 40 fps for the CGII 3D display are realized without the pseudoscopic problem.

摘要

提出了一种基于反向光线追踪技术的高效计算机生成积分成像(CGII)方法。在传统的CGII方法中,由于在虚拟世界中建立了大量相机,总渲染时间较长。利用反向光线追踪技术计算元素图像阵列中每个像素的光线原点和光线方向,可显著减少总渲染时间。该方法适用于创建高质量的积分图像且不存在视差反转问题。展示了实时和非实时的CGII渲染图像及光学重建,并通过不同类型的三维物体模型验证了其有效性。实现了具有90×90个视点的实时光学重建以及CGII三维显示中高于40帧/秒的帧率,且不存在视差反转问题。

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