Light fields capture both the spatial and angular rays, thus enabling free-viewpoint rendering and custom selection of the focal plane. Scientists can interactively explore pre-recorded microscopic light fields of organs, microbes, and neurons using virtual reality headsets. However, rendering high-resolution light fields at interactive frame rates requires a very high rate of texture sampling, which is challenging as the resolutions of light fields and displays continue to increase. In this article, we present an efficient algorithm to visualize $4D$ light fields with 3D-kernel foveated rendering (3D-KFR). The 3D-KFR scheme coupled with eye-tracking has the potential to accelerate the rendering of $4D$ depth-cued light fields dramatically. We have developed a perceptual model for foveated light fields by extending the KFR for the rendering of $3D$ meshes. On datasets of high-resolution microscopic light fields, we observe $3.47\times -7.28\times$ speedup in light field rendering with minimal perceptual loss of detail. We envision that 3D-KFR will reconcile the mutually conflicting goals of visual fidelity and rendering speed for interactive visualization of light fields.

中文翻译：

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光场的 3D 内核注视点渲染

光场同时捕捉空间光线和角度光线，从而实现自由视点渲染和焦平面的自定义选择。科学家可以使用虚拟现实耳机交互式探索预先记录的器官、微生物和神经元的微观光场。然而，以交互式帧速率渲染高分辨率光场需要非常高的纹理采样率，随着光场和显示器的分辨率不断提高，这具有挑战性。在本文中，我们提出了一种有效的算法来可视化$4D$具有 3D 内核注视点渲染 (3D-KFR) 的光场。结合眼动追踪的 3D-KFR 方案有可能加速渲染$4D$深度线索光场显着。我们通过扩展用于渲染的 KFR 为注视点光场开发了一个感知模型$3D$网格。在高分辨率微观光场的数据集上，我们观察到$3.47\times -7.28\times$以最小的细节感知损失加速光场渲染。我们设想 3D-KFR 将协调视觉保真度和渲染速度这两个相互冲突的目标，以实现光场的交互式可视化。