Abstract
Fully parallel architecture at disparity-level for efficient semi-global matching (SGM) with refined rank method is presented. The improved SGM algorithm is implemented with the non-parametric unified rank model which is the combination of Rank filter/AD and Rank SAD. Rank SAD is a novel definition by introducing the constraints of local image structure into the rank method. As a result, the unified rank model with Rank SAD can make up for the defects of Rank filter/AD. Experimental results show both excellent subjective quality and objective performance of the refined SGM algorithm. The fully parallel construction for hardware implementation of SGM is architected with reasonable strategies at disparity-level. The parallelism of the data-stream allows proper throughput for specific applications with acceptable maximum frequency. The results of RTL emulation and synthesis ensure that the proposed parallel architecture is suitable for VLSI implementation.
Abstract (translated)
提出了一种基于改进秩法的有效半全局匹配（SGM）的视差级全并行结构。改进的SGM算法采用秩滤波器/AD和秩SAD相结合的非参数统一秩模型来实现。秩sad是在秩法中引入局部图像结构约束的一种新的定义。结果表明，带秩SAD的统一秩模型可以弥补秩滤波器/AD的不足，实验结果表明改进后的SGM算法具有良好的主观性和客观性能。SGM硬件实现的完全并行结构在差异层次上采用合理的策略进行构建。数据流的并行性允许以可接受的最大频率为特定应用程序提供适当的吞吐量。RTL仿真和综合的结果保证了所提出的并行结构适用于VLSI的实现。
URL
https://arxiv.org/abs/1905.03716
