Matching of stereo image pairs for industrial vision systems

Rafic A. Bachnak, Mehmet Celenk

Research output: Contribution to conferencePaperpeer-review


A matching technique for stereo images which uses the Fourier transform for disparity estimation in a robot workspace environment is presented. The method consists of three phases. The first is a disparity estimation process which makes use of the shifting property of the Fourier transform. The second is a guided feature matching technique which selects the corners as feature points. The third is a local matching procedure that uses the corner matching results. The final output of the method is a disparity map corresponding to the matched points. The results show that the method produces accurate and dense disparity maps in a robust workspace environment.

Original languageEnglish (US)
Number of pages4
StatePublished - 1989
EventIEEE International Conference on Systems Engineering - Fairborn, OH, USA
Duration: Aug 24 1989Aug 26 1989


OtherIEEE International Conference on Systems Engineering
CityFairborn, OH, USA

All Science Journal Classification (ASJC) codes

  • General Engineering


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