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Chinese Conference on Image and Graphics Technologies

IGTA 2019: Image and Graphics Technologies and Applications pp 382–391Cite as

SGM-Based Disparity Estimation Under Radiometric Variations

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1043))

Abstract

The semi-global matching (SGM) performances excellent in stereo correspondence field, it reaches a good trade-off between correspondence accuracy and computational complexity. However, the performance of SGM is limited under radiometric variations, such as varying lighting and exposure conditions. In this paper, an improved SGM method is presented to remedy this problem. To eliminate the discrepancy of illumination between the stereo images, both histogram equalization and binary singleton expansion are adopted in pre-processing stage. The weighted median filter is adopted after conventional LRC in the disparity refinement stage to remove the outlier errors and preserve edges. The stereo images from the Middlebury benchmark are used in the experiment. The experimental result show that the average RMSE of the improved SGM method is 12.64% lower than the raw SGM. The proposed method can effectively improve the accuracy of disparity map compared to the SGM algorithm.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (Grant No. 51306012).

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Authors and Affiliations

  1. School of Astronautics, BeiHang University, Beijing, 100191, China

    WeiMin Yuan & XiaoYan Tong

  2. Civil Aviation Flight University of China, Guanghan, 618307, Sichuan, China

    Bin Xiao

Authors
  1. WeiMin Yuan
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  2. XiaoYan Tong
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  3. Bin Xiao
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Corresponding author

Correspondence to WeiMin Yuan .

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Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Yongtian Wang

  2. University of Chinese Academy of Science, Beijing, China

    Qingmin Huang

  3. Institute of Computer Science and Technology, Peking University, Beijing, China

    Yuxin Peng

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Yuan, W., Tong, X., Xiao, B. (2019). SGM-Based Disparity Estimation Under Radiometric Variations. In: Wang, Y., Huang, Q., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2019. Communications in Computer and Information Science, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-13-9917-6_37

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  • DOI: https://doi.org/10.1007/978-981-13-9917-6_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9916-9

  • Online ISBN: 978-981-13-9917-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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