A correlation-based approach for real-time stereo matching

Raj Kumar Gupta, Siu Yeung Cho

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

15 Citations (Scopus)


In this paper, we present a new area-based stereo matching algorithm that computes dense disparity maps for a real time vision system. While many stereo matching algorithms have been proposed in recent years, correlation-based algorithms still have an edge due to speed and less memory requirements. The selection of appropriate shape and size of the matching window is a difficult problem for correlation-based algorithms. We use two correlation windows (one large and one small size) to improve the performance of the algorithm while maintaining its real-time suitability. Unlike other area-based stereo matching algorithms, our method works very well at disparity boundaries as well as in low textured image areas and computes a sharp disparity map. Evaluation on the benchmark Middlebury stereo dataset has been done to demonstrate the qualitative and quantitative performance of our algorithm.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
Number of pages10
EditionPART 2
Publication statusPublished - 2010
Externally publishedYes
Event6th International, Symposium on Visual Computing, ISVC 2010 - Las Vegas, NV, United States
Duration: 29 Nov 20101 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6454 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International, Symposium on Visual Computing, ISVC 2010
Country/TerritoryUnited States
CityLas Vegas, NV

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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