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A Real-Time High-Quality Complete System for Depth Image-Based Rendering on FPGA

机译:FPGA上基于深度图像的实时高质量完整系统渲染

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摘要

Depth image-based rendering (DIBR) techniques have recently drawn more attention in various 3D applications. In this paper, a real-time high-quality DIBR system that consists of disparity estimation and view synthesis is proposed. For disparity estimation, a local approach that focuses on depth discontinuities and disparity smoothness is presented to improve the disparity accuracy. For view synthesis, a method that contains view interpolation and extrapolation is proposed to render high-quality virtual views. Moreover, the system is designed with an optimized parallelism scheme to achieve a high throughput, and can be scaled up easily. It is implemented on an Altera Stratix IV FPGA at a processing speed of 45 frames per second for 1080p resolution. Evaluated on selected image sets of the Middlebury benchmark, the average error rate of the disparity maps is 6.02%; the average peak signal to noise ratio and structural similarity values of the virtual views are 30.07 dB and 0.9303, respectively. The experimental results indicate that the proposed DIBR system has the top-performing processing speed and its accuracy performance is among the best of state-of-the-art hardware implementations.
机译:基于深度图像的渲染(DIBR)技术最近在各种3D应用程序中引起了更多关注。本文提出了一种由视差估计和视图合成组成的实时高质量DIBR系统。对于视差估计,提出了一种专注于深度不连续性和视差平滑度的局部方法,以提高视差精度。对于视图合成,提出了一种包含视图内插和外推的方法来渲染高质量的虚拟视图。此外,系统设计有优化的并行机制以实现高吞吐量,并且可以轻松扩展。它在Altera Stratix IV FPGA上以每秒45帧的处理速度实现,分辨率为1080p。根据Middlebury基准的选定图像集进行评估,视差图的平均错误率为6.02%;虚拟视图的平均峰值信噪比和结构相似度值分别为30.07 dB和0.9303。实验结果表明,所提出的DIBR系统具有最高的处理速度,其准确度性能是最先进的硬件实现中最好的。

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