A HD 31fps $7\times 7$-View Light-Field Factorization Processor for Dual-Layer 3D Factored Display

Li-Qun Weng, Li-De Chen, Hao-Chien Cheng, Anita Zheng, Kai-Ping Lin, Chao-Tsung Huang
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Abstract

Factored displays [1]–[4] are a novel kind of computational display which provides a full-parallax glasses-free 3D viewing experience. Compared to other autostereoscopic techniques, factored displays provide greater depth of field, larger field of view, and smoother perspective switching without sacrificing image resolution. Figure 33.3.1 shows an example: a light field consisting of $7\times 7$-perspective multi views (MVs) is factorized into a set of dual-layer display views (DVs), and displaying the front and rear DVs on two corresponding LCDs can multiplicatively approximate the light field for 3D vision. A higher rank of factorization generates more frames for time-multiplexed display and can improve 3D fidelity with more computation. However, the light-field factorization demands massive memory bandwidth and large computation complexity and becomes a bottleneck for real-time factored displays. For instance, 126.8GB/s of DRAM bandwidth and 4.7TFLOPS of computation are required in a rank-4 factorization at 720p HD 30fps. It is expensive and energy-inefficient to realize these demands in general-propose processors. This paper presents a light-field factorization processor to address the design challenges of memory bandwidth and computational complexity through three key contributions: 1) a half-block-based factorization (HBBF) flow to decouple DRAM access from the iterative nature of factorization to save DRAM bandwidth; 2) a sparse-ray-sampling (SRS) method which reduces DRAM bandwidth and hardware complexity simultaneously; and 3) INT-hybrid optimization for the computation of light-field factorization to save chip area.
用于双层3D分解显示的高清31fps $7\ × 7$ view光场分解处理器
因子显示器[1]-[4]是一种新型的计算显示器,它提供了全视差无眼镜的3D观看体验。与其他自动立体技术相比,因子显示在不牺牲图像分辨率的情况下提供更大的景深、更大的视野和更平滑的视角切换。图33.3.1给出了一个示例:将$7 × 7$视角多视图(multi - views, mv)组成的光场分解为一组双层显示视图(dual-layer display views, DVs),在两个相应的lcd上显示前、后两个DVs可以乘法近似3D视觉的光场。更高的分解等级可以为时间复用显示产生更多的帧数,并且可以通过更多的计算来提高三维保真度。然而,光场分解需要大量的存储带宽和计算复杂度,成为实时分解显示的瓶颈。例如,在720p HD 30fps下进行rank-4分解需要126.8GB/s的DRAM带宽和4.7TFLOPS的计算。在通用处理器中实现这些要求是昂贵和低效的。本文提出了一种光场分解处理器,通过三个关键贡献来解决内存带宽和计算复杂性的设计挑战:1)基于半块的分解(HBBF)流将DRAM访问与分解的迭代性质分离,以节省DRAM带宽;2)同时降低DRAM带宽和硬件复杂度的稀疏射线采样(SRS)方法;3)光场分解计算的INT-hybrid优化,节省芯片面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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