Binocular motion stereo using MAP estimation

Mohamed Abdel-Mottaleb, Rama Chellappa, Azriel Rosenfeld

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

8 Scopus citations

Abstract

We present an algorithm for fusing monocular and stereo cues to get robust estimates of both motion and structure. Our algorithm assumes the motion to be along a smooth trajectory and the sequence of images to be dense. The algorithm starts by calculating the instantaneous FOE (focus of expansion). Knowing the FOE we calculate a MAP estimate of the displacement at each pixel and an associated confidence measure. Using the displacement estimates we calculate a relative depth map from one of the two frame sequences. By calculating the disparities at some feature points and using information about their relative depths we compute the instantaneous component of velocity in the direction perpendicular to the image plane (the Z direction). Using this information a depth map is calculated, this depth map is then used to derive a prior probability distribution for disparity that is used in matching the two frames of the stereo pairs. We use this method to estimate the disparity at each pixel independently; no assumption about smoothness are used. Experimental results on a real image sequence are given.

Original languageEnglish
Title of host publicationIEEE Computer Vision and Pattern Recognition
Editors Anon
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages321-327
Number of pages7
ISBN (Print)0818638826
StatePublished - Dec 1 1993
Externally publishedYes
EventProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - New York, NY, USA
Duration: Jun 15 1993Jun 18 1993

Other

OtherProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityNew York, NY, USA
Period6/15/936/18/93

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Abdel-Mottaleb, M., Chellappa, R., & Rosenfeld, A. (1993). Binocular motion stereo using MAP estimation. In Anon (Ed.), IEEE Computer Vision and Pattern Recognition (pp. 321-327). Publ by IEEE.