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

Junhyung Kim; Seungchul Ryu; Seungryong Kim; Kwanghoon Sohn

doi:10.1117/12.2077538

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

Junhyung Kim, Seungchul Ryu, Seungryong Kim, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging - Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015
Editors	Robert Sitnik, William Puech
Publisher	SPIE
ISBN (Electronic)	9781628414837
DOIs	https://doi.org/10.1117/12.2077538
Publication status	Published - 2015
Event	Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015 - San Francisco, United States Duration: 2015 Feb 10 → 2015 Feb 12

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9393
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Other

Other	Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015
Country/Territory	United States
City	San Francisco
Period	15/2/10 → 15/2/12

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

Access to Document

10.1117/12.2077538

Cite this

Kim, J., Ryu, S., Kim, S., & Sohn, K. (2015). Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information. In R. Sitnik, & W. Puech (Eds.), Proceedings of SPIE-IS and T Electronic Imaging - Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015 Article 93930I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9393). SPIE. https://doi.org/10.1117/12.2077538

Kim, Junhyung ; Ryu, Seungchul ; Kim, Seungryong et al. / Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information. Proceedings of SPIE-IS and T Electronic Imaging - Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015. editor / Robert Sitnik ; William Puech. SPIE, 2015. (Proceedings of SPIE - The International Society for Optical Engineering).

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abstract = "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.",

author = "Junhyung Kim and Seungchul Ryu and Seungryong Kim and Kwanghoon Sohn",

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Kim, J, Ryu, S, Kim, S & Sohn, K 2015, Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information. in R Sitnik & W Puech (eds), Proceedings of SPIE-IS and T Electronic Imaging - Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015., 93930I, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9393, SPIE, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015, San Francisco, United States, 15/2/10. https://doi.org/10.1117/12.2077538

Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information. / Kim, Junhyung; Ryu, Seungchul; Kim, Seungryong et al.
Proceedings of SPIE-IS and T Electronic Imaging - Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015. ed. / Robert Sitnik; William Puech. SPIE, 2015. 93930I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9393).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information

AU - Kim, Junhyung

AU - Ryu, Seungchul

AU - Kim, Seungryong

AU - Sohn, Kwanghoon

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N2 - 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.

AB - 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.

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Kim J, Ryu S, Kim S, Sohn K. Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information. In Sitnik R, Puech W, editors, Proceedings of SPIE-IS and T Electronic Imaging - Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015. SPIE. 2015. 93930I. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2077538

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

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