The belief propagation stereo matching algorithm has high computational cost and varied parameters. To address these problems and perform stereo matching in practical applications, we implement BP algorithm on cuda and propose an approach to estimate parameters of smoothness term in the energy function automatically. We use Harris corner detector and Pyramidal KLT feature tracker algorithm to extract a sparse disparity map. The rate of increase in the discontinuity cost can be compute out approximately. Experiments demonstrate that our approach is feasible and the approximate parameters of discontinuity cost can be computed out quickly.

Date Published: 8 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80091Q (8 July 2011); doi: 10.1117/12.896292

Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)