A case study on raytracing-in-the-loop optimization: focal surface displays

N. Matsuda, Alexander Fix, Douglas Lanman
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Abstract

Optimization-based design of optical systems can yield configurations that would be impractical to achieve with manual parameter adjustment. Nonetheless, most approaches are geared toward one-time, offline generation of static configurations to be fabricated physically. Recently, challenging computational imaging problems, such as seeing around corners or through scattering media, have utilized dynamically addressable optical elements to probe scene light transport. A new class of optimization techniques targeted at these dynamic applications has emerged in which stochastic raytracing replaces the fixed operators applied with conventional optimization methods. By modeling optical systems as raytracing operators, more complex non-linear phenomena and larger problem sizes can be considered. We introduce a simple raytracing-in-the-loop optimization model for a head-mounted display (HMD) containing a spatial light modulator (SLM). Using this approach, we are able to compute color images to be displayed in concert with spatially varying SLM phase maps at a resolution that would otherwise be computationally in-feasible. We also consider extensions of this model that may further enhance the performance of the target system.
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射线跟踪环内优化的案例研究:焦面显示
基于优化设计的光学系统可以产生配置,这将是不切实际的实现与手动参数调整。尽管如此,大多数方法都是针对一次性的、离线生成的静态配置进行物理制造的。最近,利用动态寻址光学元件探测场景光传输等具有挑战性的计算成像问题,如观察角落或散射介质。针对这些动态应用的一类新的优化技术已经出现,其中随机光线追踪取代了传统优化方法中应用的固定算子。通过将光学系统建模为光线追踪算子,可以考虑更复杂的非线性现象和更大的问题规模。我们介绍了一种简单的包含空间光调制器(SLM)的头戴式显示器(HMD)的射线跟踪环内优化模型。使用这种方法,我们能够计算出与空间变化的SLM相位图一起显示的彩色图像,其分辨率在计算上是不可行的。我们还考虑了该模型的扩展,以进一步提高目标系统的性能。
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