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Bidirectional pyramid-based PMVS with automatic sky masking

Published:27 November 2017Publication History

ABSTRACT

In this paper, we propose an improved method for generating a dense point cloud from aerial images captured by a UAV camera. The proposed method is based on a PMVS approach and generates a dense 3D points using a bidirectional pyramid images. This approach is suitable for the characteristics of the aerial image set when the distance between the camera and the subject is large. In addition, the proposed method uses an automatic sky masking technique to generate a clean reconstruction result free of noise components in the sky area. The proposed method is applied not only to open experimental images but also to UAV aerial images.

References

  1. Sameer Agarwal and Keir Mierle. 2016. Ceres Solver. http://ceres-solver.org. (2016).Google ScholarGoogle Scholar
  2. Y. Furukawa, B. Curless, S. M. Seitz, and R. Szeliski. 2010. Towards Internet-scale multi-view stereo. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1434--1441.Google ScholarGoogle Scholar
  3. Y. Furukawa and J. Ponce. 2007. Accurate, Dense, and Robust Multi-View Stereopsis. In 2007 IEEE Conference on Computer Vision and Pattern Recognition. 1--8.Google ScholarGoogle Scholar
  4. C. Strecha, W. von Hansen, L. Van Gool, P. Fua, and U. Thoennessen. 2008. On benchmarking camera calibration and multi-view stereo for high resolution imagery. In 2008 IEEE Conference on Computer Vision and Pattern Recognition. 1--8.Google ScholarGoogle Scholar

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  1. Bidirectional pyramid-based PMVS with automatic sky masking

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        • Published in

          cover image ACM Conferences
          SA '17: SIGGRAPH Asia 2017 Posters
          November 2017
          114 pages
          ISBN:9781450354059
          DOI:10.1145/3145690

          Copyright © 2017 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 27 November 2017

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          Acceptance Rates

          Overall Acceptance Rate178of869submissions,20%

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