嵌入式多核多核系统立体匹配的优化信念传播算法

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-02-01 DOI:10.1109/PDP.2016.52

J. Nezan, Alexandre Mercat, P. Delmas, G. Gimel'farb

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引用次数: 5

摘要

立体匹配技术旨在从一对图像中重建视差图。由于最先进的算法的复杂性，在嵌入式系统中使用立体匹配技术非常具有挑战性。局部立体匹配算法在GPU和DSP上有效实现。本文对一维信念传播(BP-1D)算法进行了优化。BP-1D比以前在单核DSP上的算法更快，并且它在多核DSP上的实现很简单。在多核嵌入式平台上实现的BP-1D优于以前的立体匹配实现，达到1080p分辨率的实时性能，功耗为10瓦。

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Optimized Belief Propagation Algorithm onto Embedded Multi and Many-Core Systems for Stereo Matching

Stereo matching techniques aim at reconstructing disparity maps from a pair of images. The use of stereo matching techniques in embedded systems is very challenging due to the complexity of the state-of-the-art algorithms. Local stereo matching algorithms are efficiently implemented on GPU and DSP. This paper presents the optimization of the One Dimension Belief Propagation (BP-1D) algorithm. BP-1D is faster than previous algorithms on monocore DSP and its implementation onto multicore DSPs is straightforward. BP-1D implemented on multicore embedded platforms out-performs previous stereo matching implementations reaching real-time performances for resolutions up to 1080p with a 10 Watts power consumption.

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2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)

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