Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation

Authors:
K. Mühlmann;D. Maier;R. Männer;Jürgen Hesser
Affiliations:
-;-;-;-
Venue:
SMBV '01 Proceedings of the IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV'01)
Year:
2001

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Abstract

This paper presents an efficient implementation for correlation based stereo. Research in thisarea can roughly be divided in two classes: improvingaccuracy regardless of computing time and scene reconstruction in real-time. Algorithms achieving videoframe rates must have strong limitations in image sizeand disparity search range, whereas high quality resultsoften need several minutes per image pair. This paper tries to fill the gap, it provides instructions how toimplement correlation based disparity calculation withhigh speed and reasonable quality that can be used ina wide range of applications or to provide an initial solution for more sophisticated methods. Left-right consistency checking and uniqueness validation are used toeliminate false matches. Optionally, a fast median filtercan be applied to the results to further remove outliers.Source code will be made publicly available as contribution to the Open Source Computer Vision Library,further acceleration with SIMD instructions is plannedfor the near future.