Suppr超能文献

使用GPU加速深度缓冲光栅化实现具有几何遮挡的计算机生成全息图用于三维显示。

Computer generated hologram with geometric occlusion using GPU-accelerated depth buffer rasterization for three-dimensional display.

作者信息

Chen Rick H-Y, Wilkinson Timothy D

机构信息

Electrical Engineering Division, Engineering Department, University of Cambridge, 9 JJ Thomson Avenue, Cambridge CB3 0FA, UK.

出版信息

Appl Opt. 2009 Jul 20;48(21):4246-55. doi: 10.1364/ao.48.004246.

Abstract

We present a method of rapidly producing computer-generated holograms that exhibit geometric occlusion in the reconstructed image. Conceptually, a bundle of rays is shot from every hologram sample into the object volume. We use z buffering to find the nearest intersecting object point for every ray and add its complex field contribution to the corresponding hologram sample. Each hologram sample belongs to an independent operation, allowing us to exploit the parallel computing capability of modern programmable graphics processing units (GPUs). Unlike algorithms that use points or planar segments as the basis for constructing the hologram, our algorithm's complexity is dependent on fixed system parameters, such as the number of ray-casting operations, and can therefore handle complicated models more efficiently. The finite number of hologram pixels is, in effect, a windowing function, and from analyzing the Wigner distribution function of windowed free-space transfer function we find an upper limit on the cone angle of the ray bundle. Experimentally, we found that an angular sampling distance of 0.01 degrees for a 2.66 degrees cone angle produces acceptable reconstruction quality.

摘要

我们提出了一种快速生成计算机生成全息图的方法,该全息图在重建图像中呈现几何遮挡效果。从概念上讲,一束光线从每个全息图样本射向物体空间。我们使用z缓冲来为每条光线找到最近的相交物体点,并将其复场贡献添加到相应的全息图样本中。每个全息图样本属于一个独立的操作,这使我们能够利用现代可编程图形处理单元(GPU)的并行计算能力。与使用点或平面段作为构建全息图基础的算法不同,我们算法的复杂度取决于固定的系统参数,如光线投射操作的数量,因此能够更高效地处理复杂模型。全息图像素数量有限实际上是一个窗口函数,通过分析窗口化自由空间传递函数的维格纳分布函数,我们找到了光线束锥角的上限。通过实验,我们发现对于2.66度的锥角,0.01度的角采样距离可产生可接受的重建质量。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验