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A Stereo Matching Algorithm Based on Outline-Assisted Dynamic Programming

  • Pei Wang
  • Chen Chen
  • FangFang Wei
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 215)

Abstract

In the stereo vision researches, global matching algorithms are widely used in the preference of high matching accuracy. This paper presents a new stereo matching algorithm based on global matching philosophy. The proposed method, which is called 3D dynamic programming-oriented matching method with filter-box acceleration, utilizes the edge information obtained by wavelet transform from the stereo images got from Middlebury University. We then compared the computational cost and matching accuracy among by the new method and other conventional stereo matching algorithms. We show that it gets advantages beyond those results. Finally, we make a conclusion about current works and look forward to feature jobs.

Keywords

Stereo matching Wavelet transform 3D dynamic programming Filter-box acceleration 

Notes

Acknowledgments

This work is supported by the project of Shanghai Normal University (No.3434532), the Program of Shanghai Normal University (DZLA-7001-12-002006), and Shanghai Normal University (SK201127)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Information and Electrical Mechanism Engineering CollegeShanghai Normal UniversityShanghaiChina

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