Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information

Junhyung Kim, Seungchul Ryu, Seungryong Kim, Kwanghoon Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Conventional stereo matching methods provide the unsatisfactory results for stereo pairs under uncontrolled environments such as illumination distortions and camera device changes. A majority of efforts to address this problem has devoted to develop robust cost function. However, the stereo matching results by cost function cannot be liberated from a false correspondence when radiometric distortions exist. This paper presents a robust stereo matching approach based on probabilistic Laplacian propagation. In the proposed method, reliable ground control points are selected using weighted mutual information and reliability check. The ground control points are then propagated with probabilistic Laplacian. Since only reliable matching is propagated with the reliability of GCP, the proposed approach is robust to a false initial matching. Experimental results demonstrate the effectiveness of the proposed method in stereo matching for image pairs taken under illumination and exposure distortions.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015
EditorsRobert Sitnik, William Puech
ISBN (Electronic)9781628414837
Publication statusPublished - 2015
EventThree-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015 - San Francisco, United States
Duration: 2015 Feb 102015 Feb 12

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherThree-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015
Country/TerritoryUnited States
CitySan Francisco

Bibliographical note

Publisher Copyright:
© 2015 SPIE-IS&T.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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