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Real-Time High-Definition Stereo Matching on FPGA

机译:FPGA上的实时高清立体声匹配

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摘要

Although many fast stereo matching designs have been proposed in the past decades, it is still very challenging to achieve real-time speed at high definition resolution while maintaining high matching accuracy. In this paper, we propose a real-time high definition stereo matching design on FPGA. By using the Mini-Census transform and the Cross-based cost aggregation, the proposed algorithm is robust to radiometric differences and produces accurate disparity maps. The algorithm modules have been optimized for efficient hardware implementations and instantiated in an SoC environment. Implemented on a single EP3SL150 FPGA, our design achieves 60 frames per second for 1024 × 768 stereo images. Evaluated with the Middlebury stereo benchmark, the proposed design also delivers leading stereo matching accuracy among prior related work.
机译:尽管在过去的几十年中已经提出了许多快速的立体声匹配设计,但是要在保持高匹配精度的同时以高清晰度分辨率实现实时速度仍然是非常具有挑战性的。在本文中,我们提出了一种基于FPGA的实时高清立体声匹配设计。通过使用Mini-Census变换和基于Cross的成本聚合,所提出的算法对于辐射差异具有鲁棒性,并可以生成准确的视差图。算法模块已针对有效的硬件实现进行了优化,并在SoC环境中实例化。我们的设计在单个EP3SL150 FPGA上实现,可实现每秒60帧的速度,可处理1024×768立体声图像。根据Middlebury立体声基准进行评估,该提议的设计还提供了先前相关工作中领先的立体声匹配精度。

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