Matching of stereo image pairs for industrial vision systems

Rafic A. Bachnak, Mehmet Celenk

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

Abstract

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)
Title of host publicationIEEE Int Conf Syst Eng
Editors Anon
PublisherPubl by IEEE
Pages303-306
Number of pages4
StatePublished - 1989
EventIEEE International Conference on Systems Engineering - Fairborn, OH, USA
Duration: Aug 24 1989Aug 26 1989

Other

OtherIEEE International Conference on Systems Engineering
CityFairborn, OH, USA
Period8/24/898/26/89

Fingerprint

Fourier transforms
Robots

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Bachnak, R. A., & Celenk, M. (1989). Matching of stereo image pairs for industrial vision systems. In Anon (Ed.), IEEE Int Conf Syst Eng (pp. 303-306). Publ by IEEE.
Bachnak, Rafic A. ; Celenk, Mehmet. / Matching of stereo image pairs for industrial vision systems. IEEE Int Conf Syst Eng. editor / Anon. Publ by IEEE, 1989. pp. 303-306
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Bachnak, RA & Celenk, M 1989, Matching of stereo image pairs for industrial vision systems. in Anon (ed.), IEEE Int Conf Syst Eng. Publ by IEEE, pp. 303-306, IEEE International Conference on Systems Engineering, Fairborn, OH, USA, 8/24/89.

Matching of stereo image pairs for industrial vision systems. / Bachnak, Rafic A.; Celenk, Mehmet.

IEEE Int Conf Syst Eng. ed. / Anon. Publ by IEEE, 1989. p. 303-306.

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

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N2 - 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.

AB - 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.

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Bachnak RA, Celenk M. Matching of stereo image pairs for industrial vision systems. In Anon, editor, IEEE Int Conf Syst Eng. Publ by IEEE. 1989. p. 303-306