By Topic

Fast computation of dense stereo correspondence by stochastic sampling of match quality

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Coffman, T.R. ; Univ. of Texas at Austin, Austin, TX ; Bovik, A.C.

We present a method for computing dense stereo correspondences in calibrated monocular video by iteratively and stochastically sampling match quality values in the disparity search space. Most existing methods exhaustively compute local correspondence quality before searching for a globally optimal solution. Instead, we iteratively refine a correspondence estimate by perturbing it with random noise and formulating an influence at each sample based on the perturbation and its effect on correspondence match quality. Local influence is aggregated to recover consistent trends in match quality caused by the piecewise-continuous structure of the scene. Correspondence estimates for a given frame pair are seeded with the estimates from the previous frame pair, allowing convergence to occur across multiple frame pairs.

Published in:

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Date of Conference:

March 31 2008-April 4 2008