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Image Stitching and Rectification for Hand-Held Cameras

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Computer Vision – ECCV 2020 (ECCV 2020)

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Abstract

In this paper, we derive a new differential homography that can account for the scanline-varying camera poses in Rolling Shutter (RS) cameras, and demonstrate its application to carry out RS-aware image stitching and rectification at one stroke. Despite the high complexity of RS geometry, we focus in this paper on a special yet common input—two consecutive frames from a video stream, wherein the inter-frame motion is restricted from being arbitrarily large. This allows us to adopt simpler differential motion model, leading to a straightforward and practical minimal solver. To deal with non-planar scene and camera parallax in stitching, we further propose an RS-aware spatially-varying homogarphy field in the principle of As-Projective-As-Possible (APAP). We show superior performance over state-of-the-art methods both in RS image stitching and rectification, especially for images captured by hand-held shaking cameras.

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Notes

  1. 1.

    See our supplementary material for derivations.

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Acknowledgement

We would like to thank Buyu Liu, Gaurav Sharma, Samuel Schulter, and Manmohan Chandraker for proofreading and support of this work. We are also grateful to all the reviewers for their constructive suggestions.

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Authors and Affiliations

  1. NEC Labs America, Princeton, USA

    Bingbing Zhuang & Quoc-Huy Tran

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  1. Bingbing Zhuang
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  2. Quoc-Huy Tran
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Correspondence to Bingbing Zhuang .

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Editors and Affiliations

  1. University of Oxford, Oxford, UK

    Andrea Vedaldi

  2. Graz University of Technology, Graz, Austria

    Horst Bischof

  3. University of Freiburg, Freiburg im Breisgau, Germany

    Thomas Brox

  4. University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

    Jan-Michael Frahm

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Zhuang, B., Tran, QH. (2020). Image Stitching and Rectification for Hand-Held Cameras. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, JM. (eds) Computer Vision – ECCV 2020. ECCV 2020. Lecture Notes in Computer Science(), vol 12352. Springer, Cham. https://doi.org/10.1007/978-3-030-58571-6_15

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