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Resource-aware image mosaicking on networks of small-scale UAVs

Published: 31 August 2010 Publication History

Abstract

In this approach we estimate the depth structure of images captured by small-scale UAVs to guide the mosaicking of an overview image. We focus on efficient methods where initially only metadata and descriptors of corresponding points are transferred over the network. The complete image is presented later when sufficient communication resources are available.

References

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}}R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, ISBN: 0521540518, second edition, 2004.
[2]
}}C. Loop and Z. Zhang. Computing rectifying homographies for stereo vision. In Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on., volume 1, page 131 Vol. 1, 1999.
[3]
}}S. Yahyanejad, D. Wischounig-Strucl, M. Quaritsch, and B. Rinner. Incremental Mosaicking of Images from Autonomous, Small-Scale UAVs. 7th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Sept. 2010.

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cover image ACM Conferences
ICDSC '10: Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
August 2010
252 pages
ISBN:9781450303170
DOI:10.1145/1865987
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 August 2010

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  • Research-article

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  • state of Austria

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ICDSC '10
Sponsor:
ICDSC '10: International Conference on Distributed Smart Cameras
August 31 - September 4, 2010
Georgia, Atlanta

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Overall Acceptance Rate 92 of 117 submissions, 79%

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