Paper
26 September 2013 Performance evaluation of phase-based correspondence matching on GPUs
Mamoru Miura, Kinya Fudano, Koichi Ito, Takafumi Aoki, Hiroyuki Takizawa, Hiroaki Kobayashi
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Abstract
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 an object using stereo vision, while the drawback of POCbased 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 exhibits high-speed and high-efficiency computation of POC-based stereo correspondence matching compared with the CPU implementation. We also apply the proposed implementation to two types of 3D measurement application and demonstrate their effectiveness.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mamoru Miura, Kinya Fudano, Koichi Ito, Takafumi Aoki, Hiroyuki Takizawa, and Hiroaki Kobayashi "Performance evaluation of phase-based correspondence matching on GPUs", Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885614 (26 September 2013); https://doi.org/10.1117/12.2023550
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Cited by 2 scholarly publications.
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KEYWORDS
3D metrology

Cameras

3D image processing

Imaging systems

3D vision

Atomic force microscopy

Digital image processing

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