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Multi-homography Estimation and Inference Driven by Contour Alignment

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Image and Graphics (ICIG 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12888))

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Abstract

Recently, multiple homography estimation is preferable for image stitching to handle the parallax problem, by estimating homographies from the feature correspondence in each local region. However, correspondence outliers and insufficient feature coverage will lead to unreliable local homography fitting. In this paper, we propose a novel method of multi-homography estimation and inference, driven by contour alignment. Our method uses explicit structural verification through contour alignment to eliminate incorrectly fitted homographies in some regions, and to select a better homography from other regions if current homography is rejected or with worse accuracy. With the guidance of the contour alignment, dense image alignment result is obtained by further inferring the local homography per superpixel. Quantitative and qualitative comparisons demonstrate the effectiveness of our method, especially for scenes with large parallax and viewpoint changes.

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Acknowledgment

This work was supported by the Natural Science Foundation of China (NSFC) under Grant No. 61773062.

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Authors and Affiliations

  1. Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology (BIT), Beijing, 100081, China

    Tao Cai, Yunde Jia, Huijun Di & Yuwei Wu

Authors
  1. Tao Cai
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  2. Yunde Jia
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  3. Huijun Di
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  4. Yuwei Wu
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Corresponding author

Correspondence to Huijun Di .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Yuxin Peng

  2. Tsinghua University, Beijing, China

    Shi-Min Hu

  3. Tampere University, Tampere, Finland

    Moncef Gabbouj

  4. Zhejiang University, Hangzhou, China

    Kun Zhou

  5. Technion – Israel Institute of Technology, Haifa, Israel

    Michael Elad

  6. Tsinghua University, Beijing, China

    Kun Xu

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Cai, T., Jia, Y., Di, H., Wu, Y. (2021). Multi-homography Estimation and Inference Driven by Contour Alignment. In: Peng, Y., Hu, SM., Gabbouj, M., Zhou, K., Elad, M., Xu, K. (eds) Image and Graphics. ICIG 2021. Lecture Notes in Computer Science(), vol 12888. Springer, Cham. https://doi.org/10.1007/978-3-030-87355-4_45

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  • DOI: https://doi.org/10.1007/978-3-030-87355-4_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87354-7

  • Online ISBN: 978-3-030-87355-4

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