In-loop radial distortion compensation for long-term mosaicing of aerial videos

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Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Processing
Subtitle of host publicationICIP 2016 - Proceedings
PublisherIEEE Computer Society
Pages2961-2965
Number of pages5
ISBN (electronic)9781467399616
Publication statusPublished - Aug 2016
Event23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States
Duration: 25 Sept 201628 Sept 2016

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2016-August
ISSN (Print)1522-4880

Abstract

For the generation of overview panoramic images from aerial surveillance videos, registered video frames are stitched together. Assuming a planar landscape, feature points can be detected and used to estimate a homography. However, if the features are affected by radial distortion, their mapping depends on their position within the frame and the resulting homography becomes inaccurate. As a result, the length of aerial panorama images is typically restricted to several hundred frames. To overcome this issue, we derive a model for the joint estimation of several homographies and one constant radial distortion. Due to the computational complexity of the solution, we propose a fast, iterative algorithm. Based on geometrical constraints, we regularize the projection of a jointly estimated picture group. We present panorama images from uncalibrated aerial videos with more than 1500 frames.

Keywords

    Long-term mosaicing, On-Board Image Distortion, Panorama Image, Stitching

ASJC Scopus subject areas

Cite this

In-loop radial distortion compensation for long-term mosaicing of aerial videos. / Meuel, Holger; Ferenz, Stephan; Munderloh, Marco et al.
2016 IEEE International Conference on Image Processing: ICIP 2016 - Proceedings. IEEE Computer Society, 2016. p. 2961-2965 7532902 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2016-August).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Meuel, H, Ferenz, S, Munderloh, M, Ackermann, H & Ostermann, J 2016, In-loop radial distortion compensation for long-term mosaicing of aerial videos. in 2016 IEEE International Conference on Image Processing: ICIP 2016 - Proceedings., 7532902, Proceedings - International Conference on Image Processing, ICIP, vol. 2016-August, IEEE Computer Society, pp. 2961-2965, 23rd IEEE International Conference on Image Processing, ICIP 2016, Phoenix, United States, 25 Sept 2016. https://doi.org/10.1109/icip.2016.7532902
Meuel, H., Ferenz, S., Munderloh, M., Ackermann, H., & Ostermann, J. (2016). In-loop radial distortion compensation for long-term mosaicing of aerial videos. In 2016 IEEE International Conference on Image Processing: ICIP 2016 - Proceedings (pp. 2961-2965). Article 7532902 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2016-August). IEEE Computer Society. https://doi.org/10.1109/icip.2016.7532902
Meuel H, Ferenz S, Munderloh M, Ackermann H, Ostermann J. In-loop radial distortion compensation for long-term mosaicing of aerial videos. In 2016 IEEE International Conference on Image Processing: ICIP 2016 - Proceedings. IEEE Computer Society. 2016. p. 2961-2965. 7532902. (Proceedings - International Conference on Image Processing, ICIP). doi: 10.1109/icip.2016.7532902
Meuel, Holger ; Ferenz, Stephan ; Munderloh, Marco et al. / In-loop radial distortion compensation for long-term mosaicing of aerial videos. 2016 IEEE International Conference on Image Processing: ICIP 2016 - Proceedings. IEEE Computer Society, 2016. pp. 2961-2965 (Proceedings - International Conference on Image Processing, ICIP).
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abstract = "For the generation of overview panoramic images from aerial surveillance videos, registered video frames are stitched together. Assuming a planar landscape, feature points can be detected and used to estimate a homography. However, if the features are affected by radial distortion, their mapping depends on their position within the frame and the resulting homography becomes inaccurate. As a result, the length of aerial panorama images is typically restricted to several hundred frames. To overcome this issue, we derive a model for the joint estimation of several homographies and one constant radial distortion. Due to the computational complexity of the solution, we propose a fast, iterative algorithm. Based on geometrical constraints, we regularize the projection of a jointly estimated picture group. We present panorama images from uncalibrated aerial videos with more than 1500 frames.",
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