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Frontier and Innovation in Future Computing and Communications pp 297–304Cite as

Hybrid Performance with Pixel Values’ Transition and Curve Fitting for Improved Stereo Matching

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 301))

Abstract

We propose method that it can get disparity values uniformly even though the targeted stereo images is distorted by particular effects of illumination. The proposed method has key feature. This doesn’t perform additional process as like preprocessing. That is, this has robust performance about distortion occurred through external illumination and carmera parameters. As a result, we could derive the maximum hybrid performance. The verification was showed by the good subjective and objective evaluations result.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Pusan National University, Busan, Republic of Korea

    Kwangmu Shin, Daekeun Kim & Kidong Chung

Authors
  1. Kwangmu Shin
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  2. Daekeun Kim
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  3. Kidong Chung
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Corresponding author

Correspondence to Kwangmu Shin .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. School of Information Technologies, University of Sydney, Sydney, New South Wales, Australia

    Albert Zomaya

  3. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa-Young Jeong

  4. Computer Science & Software Engineering, Monmouth University, W. Long Branch, New Jersey, USA

    Mohammad Obaidat

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© 2014 Springer Science+Business Media Dordrecht

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Cite this paper

Shin, K., Kim, D., Chung, K. (2014). Hybrid Performance with Pixel Values’ Transition and Curve Fitting for Improved Stereo Matching. In: Park, J., Zomaya, A., Jeong, HY., Obaidat, M. (eds) Frontier and Innovation in Future Computing and Communications. Lecture Notes in Electrical Engineering, vol 301. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8798-7_36

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  • DOI: https://doi.org/10.1007/978-94-017-8798-7_36

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-8797-0

  • Online ISBN: 978-94-017-8798-7

  • eBook Packages: EngineeringEngineering (R0)

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