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Live photo mosaic with a group of wireless image sensors

Published: 04 November 2009 Publication History

Abstract

Photo tourism [5] is a platform that allows users to transform unstructured online digital photos into a 3D experience. Nowadays, image sensors are being extensively used to allow images to be taken automatically and remotely, which facilitates the opportunity for live update of photo mosaics. In this paper, we present a novel framework for live photo mosaic with a group of wireless image sensor nodes, where the image data aggregation is accomplished in an efficient and distributed way. Essentially, we propose to conduct clustering and data compression at wireless sensor network level while conserving the completeness of the feature point information [3] for reconstruction. Toward the realization of the whole system, we have built image sensor prototypes with commodity cameras. We have also conducted preliminary experiments with our wireless image sensor prototypes.

References

[1]
D. Estrin, R. Govindan, J. Heidemann, and S. Kuman. Next century challenges: Scalable coordination in sensor networks. Proc. of ACM Mobicom, 1999.
[2]
W. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energy-efficient communication protocol for wireless microsensor networks. Proc. of IEEE HICSS, 2000.
[3]
D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2004.
[4]
V. Shnayder, M. Hempstead, B. Chen, G. Allen, and M. Welsh. Simulating the power consumption of large-scale sensor network applications. Proc. of ACM SenSys, 2004.
[5]
N. Snavely, S. Seitz, and R. Szeliski. Photo tourism: Exploring image collection in 3d. Proc. of ACM SIGGRAPH, 2006.

Cited By

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  • (2012)Efficient background subtraction for real-time tracking in embedded camera networksProceedings of the 10th ACM Conference on Embedded Network Sensor Systems10.1145/2426656.2426686(295-308)Online publication date: 6-Nov-2012

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Published In

cover image ACM Conferences
SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
November 2009
438 pages
ISBN:9781605585192
DOI:10.1145/1644038

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2009

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Author Tags

  1. distributed clustering
  2. image sensors
  3. photo mosaic

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Overall Acceptance Rate 174 of 867 submissions, 20%

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  • (2012)Efficient background subtraction for real-time tracking in embedded camera networksProceedings of the 10th ACM Conference on Embedded Network Sensor Systems10.1145/2426656.2426686(295-308)Online publication date: 6-Nov-2012

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