Publication in BibTeX Format

@TECHREPORT{AICPub551:1987,
  AUTHOR={Barnard, Stephen T.},
  TITLE={Stereo Matching By Hierarchical, Microcanonical Annealing},
  ADDRESS={333 Ravenswood Ave., Menlo Park, CA 94025},
  INSTITUTION={AI Center, SRI International},
  MONTH={Feb},
  NUMBER={414},
  YEAR={1987},
  KEYWORDS={Vision!Stereo, Vision!Annealing},
  ABSTRACT={An improved stochastic stereo-matching algorithm is presented. It incorporates
     two substantial modifications to an earlier version: a new variation of simulated
     annealing that is faster, simpler, and more controllable than the conventional
     ``heat-bath’’ version, and a hierarchical, coarse-to-fine-resolution
     control structure. The Hamiltonian used in the original model is minimized,
     but far more efficiently. The basis of microcanonical annealing is the Creutz
     algorithm . Unlike its counterpart, the familiar Metropolis algorithm, the
     Creutz algorithm simulates a thermally isolated system at equilibrium. The
     hierarchical control structure, together with a Brownian state-transition function,
     tracks ground states across scale, beginning with small, coarsely coded levels.
     Results are shown for a 512 x 512 pair with 50 pixels of disparity.}
}