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Chinese Conference on Pattern Recognition

CCPR 2014: Pattern Recognition pp 381–390Cite as

Quasi-Orthorectified Panorama Generation Based on Affine Model from Terrain UAV Images

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 483))

Abstract

In this paper we present a new panorama generation method based on affine model. The images used for panorama generation are captured by an Unmanned Aerial Vehicle (UAV). We focus our research on terrain data, which contains few high buildings. In our method a Best-First Affine Model is used to generate panorama, with the affine parameters solved by a locally optimized RANSAC. The process of our image stitching method is fully automatic. Compared with existing methods, the panorama generated by ours is a quasi-orthorectified one and free from visible distortions.

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Author information

Authors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R.China

    Yuchong Li

Authors
  1. Yuchong Li
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Editor information

Editors and Affiliations

  1. College of Electrical and Information Engineering, Hunan University, 410082, Changsha, P.R. China

    Shutao Li

  2. Chinese Academy of Sciences, Beijing, China

    Chenglin Liu

  3. College of electrical and information engineering, Hunan University, 410082, Changsha, P.R. China

    Yaonan Wang

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© 2014 Springer-Verlag Berlin Heidelberg

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Li, Y. (2014). Quasi-Orthorectified Panorama Generation Based on Affine Model from Terrain UAV Images. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45646-0_39

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  • DOI: https://doi.org/10.1007/978-3-662-45646-0_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45645-3

  • Online ISBN: 978-3-662-45646-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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