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Improved adaptive stereo matching using double dynamic programming with correlation of row and column

  • Ming Zhao*
  • , Xiao Bai Li
  • , Rong Ling Lang
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In a variety of stereo matching algorithms using dynamic programming algorithm can effectively improve the speed and accuracy with good real-time performance and easy realization. In this paper, with advantages of dynamic programming, we presents a stereo matching algorithm using double dynamic programming with correlation of row and column, which uses improved adaptive support-weight approach and energy minimization model to solve the optimization problem. In the solving process, different constructed values of data items given based on characters of variation in the column direction using row dynamic programming and the values of smoothness item in the column direction, to reduce apparent defective stripes, are used to get the final result using column dynamic programming. Experimental results used Middlebury database show that the proposed algorithm can reduce the overall matching error rates and apparent defective stripes and get a better stereo matching effect.

Original languageEnglish
Title of host publicationICSPS 2010 - Proceedings of the 2010 2nd International Conference on Signal Processing Systems
PagesV395-V3100
DOIs
StatePublished - 2010
Event2010 2nd International Conference on Signal Processing Systems, ICSPS 2010 - Dalian, China
Duration: 5 Jul 20107 Jul 2010

Publication series

NameICSPS 2010 - Proceedings of the 2010 2nd International Conference on Signal Processing Systems
Volume3

Conference

Conference2010 2nd International Conference on Signal Processing Systems, ICSPS 2010
Country/TerritoryChina
CityDalian
Period5/07/107/07/10

Keywords

  • Constructed value of data item
  • Double dynamic programming with correlation of row and column
  • Improved adaptive support-weight approach
  • Stereo matching

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