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Real-Time Foveal Light Fields for Spatial Imaging Devices

机译:用于空间成像装置的实时污水场

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Recent advances in display technology are introducing new devices that provide multiple viewers with a true 3D experience. These spatial imaging devices display either volumetric models or four-dimensional image-based light-field models. The light field or plenoptic function gives radiance along the lines passing through a scene. Due to its higher dimensionality it is expensive to model, capture, generate, store, retrieve and display. Geometric models are not suitable for spatial imaging, as rendering many views of complex geometries requires more effort than extracting and displaying carefully arranged images of a scene. We thus focus in this paper on image-based representations of the light field for spatial imaging devices. We present a multiresolution representation for the light field that is independent from the viewers' positions. Our representation allows lazy level-of-detail (LOD) extraction for adaptive frame-rate control. It also supports continuous LOD rendering to avoid popping artifacts. The system relies on a two-level light-field cache that always keeps a minimum working set of images in graphics memory. This set is large enough to render the model from any vantage point. Our approach uses multi-threading and delayed image retrieval from disk to main memory, and from main memory to graphics memory. We also propose a predictive caching algorithm that only retrieves and maintains radiance data likely to be viewed by the user in coming frames. Finally, we implement foveal vision for added efficiency in light-field rendering. Our system is targeted at autostereoscopic devices like lenticular, holographic and parallax-barrier displays.
机译:展出技术的最新进展正在推出新的设备,为具有真正的3D体验提供多个观众。这些空间成像设备显示体积模型或基于四维图像的光场模型。光场或全部电视功能沿着通过场景的线提供辐射。由于其更高的维度,它可以模拟,捕获,生成,存储,检索和显示价格昂贵。几何模型不适用于空间成像,因为渲染复杂几何的许多视图需要比提取和显示场景的仔细布置图像需要更多的努力。因此,我们专注于本文对空间成像装置的光场的基于图像的表示。我们为独立于观众的位置呈现了一个多分辨率表示。我们的代表允许为自适应帧速率控制提取懒惰的细节(LOD)提取。它还支持连续的LOD渲染,以避免弹出伪影。系统依赖于两级光场缓存,始终保持图形存储器中的最小图像的最小图像。该集足够大,可以从任何有利位置渲染模型。我们的方法使用从磁盘到主存储器的多线程和延迟图像检索,以及从主内存到图形存储器。我们还提出了一种预测性缓存算法,该算法仅检索和维护可能在即将到来的帧中被用户查看的辐射数据。最后,我们在浅野渲染中实现了额外效率的稳态视觉。我们的系统是针对自动立体设备,如透镜,全息和视差屏障显示器。

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