Search Contact information
University of Cambridge Home Department of Engineering
University of Cambridge > Engineering Department > Machine Intelligence Lab

Abstract for lim_tr109

Cambridge University Engineering Department Technical Report CUED/F-INFENG/TR109


Kok-Guan Lim and Richard W. Prager

July 1992

We present a new method using a Markov Random Field (MRF) to integrate edge and intensity based stereo algorithms. First, we derive the intensity based stereo algorithm under the MRF framework. The integration is then performed by coupling the disparity estimates from an independent edge based stereo module to the energy functional of the MRF, associated with the intensity based stereo algorithm. The maximum a posteriori estimate of the resulting MRF is obtained using the mean field annealing algorithm. Results from real and artificial images show a consistent improvement in the accuracy under this scheme of integration.

(ftp:) (http:)
PDF (automatically generated from original PostScript document - may be badly aliased on screen):
  (ftp:) lim_tr109.pdf | (http:) lim_tr109.pdf

If you have difficulty viewing files that end '.gz', which are gzip compressed, then you may be able to find tools to uncompress them at the gzip web site.

If you have difficulty viewing files that are in PostScript, (ending '.ps' or '.ps.gz'), then you may be able to find tools to view them at the gsview web site.

We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.

© 2005 Cambridge University Engineering Dept
Information provided by milab-maintainer