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A New Simple Method to Stitch Images with Lens Distortion

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Advances in Visual Computing (ISVC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6454))

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Abstract

Lens distortion is one of the main problems that makes it difficult to correctly stitch images. Since the lens distortion cannot be linearly represented, it is hard to define the correspondences between images linearly or directly when the images are stitched. In this paper, we propose an efficient image stitching method for images with various lens distortions. We estimate accurate lens distortion using the ratio of lengths between matching lines in each matched image. The homographies between each matched images are estimated based on the estimated lens distortion. Since our technique works in the RANSAC phase, the additional time to estimate the distortion parameters is very short. Our experimental results show that our proposed method can efficiently and automatically stitch images with arbitrary lens distortion better than other current methods.

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References

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Author information

Authors and Affiliations

  1. Dept. of Computer Eng., Catholic University of Korea, #43-1 Yokkok 2-dong Wonmi-Gu, Bucheon, Gyonggi-Do, Korea

    Myung-Ho Ju

  2. Dept. of Media Eng., Catholic University of Korea, #43-1 Yokkok 2-dong Wonmi-Gu, Bucheon, Gyonggi-Do, Korea

    Hang-Bong Kang

Authors
  1. Myung-Ho Ju
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  2. Hang-Bong Kang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. Moffett Field, NASA Ames Research Center, 94035, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. The Chinese University of Hong Kong, Shatin, Hong Kong, China

    Ronald Chung

  6. Dyna Vox Systems, Pittsburgh, PA, USA

    Riad Hammound

  7. King Saud University, Riyadh, Saudi Arabia

    Muhammad Hussain

  8. Hewlett Packard Labs, Paolo Alto, CA, USA

    Tan Kar-Han

  9. The Ohio State University, Columbus, OH, USA

    Roger Crawfis

  10. Virtual Reality Lab, EPFL, Lausanne, Switzerland

    Daniel Thalmann

  11. NASA Ames Research Center, Clifton Park, NY, USA

    David Kao

  12. Kitware, Clifton Park, NY, USA

    Lisa Avila

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© 2010 Springer-Verlag Berlin Heidelberg

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Ju, MH., Kang, HB. (2010). A New Simple Method to Stitch Images with Lens Distortion. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17274-8_27

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  • DOI: https://doi.org/10.1007/978-3-642-17274-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17273-1

  • Online ISBN: 978-3-642-17274-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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