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Abstract for lim_tr109

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

USING MARKOV RANDOM FIELD TO INTEGRATE STEREO MODULES

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.


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