Performance evaluation of phase-based correspondence matching on GPUs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXVI
Publication statusPublished - 2013
EventApplications of Digital Image Processing XXXVI - San Diego, CA, United States
Duration: 2013 Aug 262013 Aug 29

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherApplications of Digital Image Processing XXXVI
Country/TerritoryUnited States
CitySan Diego, CA


  • GPU
  • phase-only correlation
  • real-time 3D measurement
  • stereo correspondence
  • stereo vision

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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