GPU implementation of phase-based stereo correspondence and its application

GPU implementation of phase-based stereo correspondence and its application
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DOI:
10.1109/icip.2012.6467205
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发表时间:
2012-09
期刊:
2012 19th IEEE International Conference on Image Processing
影响因子:
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通讯作者:
Mamoru Miura;K. Fudano;Koichi Ito;T. Aoki;Hiroyuki Takizawa;Hiroaki Kobayashi
Mamoru Miura;K. Fudano;Koichi Ito;T. Aoki;Hiroyuki Takizawa;Hiroaki Kobayashi
中科院分区:
其他
文献类型:
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作者:
Mamoru Miura;K. Fudano;Koichi Ito;T. Aoki;Hiroyuki Takizawa;Hiroaki Kobayashi

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本文提出了使用仅相关相关(POC)的立体声匹配的图形处理单元(GPU)实现。基于POC的高准确立体声对应匹配的使用可以使用立体声视觉测量对象的准确3D形状,而基于POC的方法的缺点是其高计算成本。在解决此问题时,我们提出了基于POC的对应匹配的GPU实现。通过使用多种GPU的一组实验,我们证明了所提出的实现是高速和高效率与CPU实施相比的。我们还将提出的方法应用于实时3D测量系统。
This paper proposes a Graphics Processing Unit (GPU) implementation of the stereo correspondence matching using Phase-Only Correlation (POC). The use of high-accuracy stereo correspondence matching based on POC makes it possible to measure accurate 3D shape of the object using stereo vision, while the drawback of POC-based approach is its high computational cost. Addressing this problem, we propose a GPU implementation of POC-based correspondence matching. Through a set of experiments using a variety of GPUs, we demonstrate that the proposed implementation is high-speed and high-efficiency compared with the CPU implementation. We also apply the proposed approach to a real-time 3D measurement system.