Efficient POC-based correspondence detection method for multi-channel images

M. Tsuchida, S. Sakai, K. Ito, K. Kashino, J. Yamato, T. Aoki

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


We propose a new POC (phase-only correlation)-based highaccuracy correspondence detection method for multi-channel images. There is the possibility of improving detection accuracy because conventional POC-based methods do not use color information. In the proposed method, a normalized cross spectrum (or cross-phase spectrum) and weight are calculated for each color channel in the Fourier domain. The weight is determined by the amplitude of the cross spectrum. The weighted normalized cross spectra of all color channels are combined and inverse Fourier transformation is conducted to obtain a POC function. An experimental evaluation of the matching accuracy between the conventional POC-based method and the proposed method shows that RMSE decreased approximately 25%. This paper also describes an application of the proposed method to a stereo image matching. The average detection ratio of correspondences between a stereo-pare image is improved 64% to 95%.

Original languageEnglish
Pages (from-to)113-118
Number of pages6
JournalFinal Program and Proceedings - IS and T/SID Color Imaging Conference
Issue numberJanuary
Publication statusPublished - 2014 Jan 1
Event22nd Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2014, Collocated with the 2nd Congress of the International Academy of Digital Pathology, IADP 2014 - Boston, United States
Duration: 2014 Nov 32014 Nov 7

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics


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