HD 180 FPS FPGA Processor to Generate Depth Image with Clear Object Boundary

M. Miyama
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引用次数: 1

Abstract

This paper proposes a novel fast method of depth image generation with super-pixels (SPs) that introduces a matching algorithm on SP basis, one-way check using only unidirectional disparities, and a cost filter on SP basis. In architecture design, an SP segmentation circuit that performs four iterations for whole image in one pass with four processing elements (PEs) is introduced. An SP-based stereo matching circuit is configured by serially connecting the same number of PEs as the maximum disparity, and performs parallel matching of all disparities for a left pixel, while suppressing memory access of the right pixel to 1 pixel / cycle. We implemented an FPGA processor with OpenCL and achieved high throughput of HD 180 fps with a disparity range of 192 pixels.
HD 180 FPS FPGA处理器生成具有清晰对象边界的深度图像
本文提出了一种新的基于超像素的深度图像快速生成方法,该方法引入了基于超像素的匹配算法、仅使用单向差的单向检查算法和基于超像素的代价滤波器。在结构设计中,介绍了一种采用4个处理单元对整幅图像进行一次4次迭代的SP分割电路。通过串行连接与最大视差相同数量的pe来配置基于sp的立体匹配电路,并对左侧像素的所有视差进行并行匹配,同时将右侧像素的内存访问抑制为1像素/周期。我们使用OpenCL实现了FPGA处理器,实现了HD 180 fps的高吞吐量,视差范围为192像素。
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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