A sub-pixel correspondence search technique for computer vision applications

Kenji Takita, Mohammad Abdul Muquit, Takafumi Aoki, Tatsuo Higuchi

Research output: Contribution to journalArticlepeer-review

112 Citations (Scopus)

Abstract

This paper presents a technique for high-accuracy correspondence search between two images using Phase-Only Correlation (POC) and its performance evaluation in a 3D measurement application. The proposed technique employs (i) a coarse-to-fine strategy using image pyramids for correspondence search and (ii) a sub-pixel window alignment technique for finding a pair of corresponding points with sub-pixel displacement accuracy. Experimental evaluation shows that the proposed method makes possible to estimate the displacement between corresponding points with approximately 0.05-pixel accuracy when using 11 × 11-pixel matching windows. This paper also describes an application of the proposed technique to passive 3D measurement system.

Original languageEnglish
Pages (from-to)1913-1923
Number of pages11
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE87-A
Issue number8
Publication statusPublished - 2004 Aug

Keywords

  • Block matching
  • Image matching
  • Phase correlation
  • Phase-only correlation
  • Sub-pixel matching

Fingerprint

Dive into the research topics of 'A sub-pixel correspondence search technique for computer vision applications'. Together they form a unique fingerprint.

Cite this