ABSTRACT
Photo tourism [11] 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 image sensor network level while conserving the completeness of the feature point information [9] for reconstruction. Toward the realization of the whole system, we have built image sensor prototypes with commodity cameras and we validated our approach by indepth analysis, extensive simulations and field experiments.
- T. Cover and J. Thomas. Elements of information theory. John Wiley and Sons, 2006. Google ScholarDigital Library
- D. Estrin, R. Govindan, J. Heidemann, and S. Kuman. Next century challenges: Scalable coordination in sensor networks. Proc. of ACM Mobicom, 1999. Google ScholarDigital Library
- W. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energy-efficient communication protocol for wireless microsensor networks. Proc. of IEEE HICSS, 2000. Google ScholarDigital Library
- F. Li. A networking perspective of cooperative spectrum sharing in wireless networks: Analysis and experiments. Proc. of IEEE WTS, 2008.Google Scholar
- F. Li and I. Nikolaidis. On minimum-energy broadcasting in all-wireless networks. Proc. of IEEE LCN, 2001. Google ScholarDigital Library
- X. Li, C. Wu, C. Zach, S. Lazebnik, and J. Frahm. Modeling and recognition of landmark image collections using iconic scene graph. Proc. of IEEE ECCV, 2008. Google ScholarDigital Library
- C. Liu, J. Yuen, A. Torralba, J. Sivic, and W. Freeman. Sift flow: dense correspondence across different scene. Proc. of IEEE ECCV, 2008. Google ScholarDigital Library
- S. Lloyd. Least square quantization in pcm. IEEE Trans. Inform. Theory, 1982.Google Scholar
- D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2004. Google ScholarDigital Library
- 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. Google ScholarDigital Library
- N. Snavely, S. Seitz, and R. Szeliski. Photo tourism: Exploring image collection in 3d. Proc. of ACM SIGGRAPH, 2006. Google ScholarDigital Library
- N. Snavely, S. Seitz, and R. Szeliski. Skeletal graphs for efficient structure from motion. Proc. of IEEE CVPR, 2008.Google ScholarCross Ref
- T. Stoyanova, F. Kerasiotis, A. Prayati, and G. Papadopoulos. Evaluation of impact factors on rss accuracy for localization and tracking applications. Proc. of ACM MobiWac, 2007. Google ScholarDigital Library
- J. Tumblin, A. Agrawal, and R. Raskar. Why i want a gradient camera. Proc. of IEEE CVPR, 2005. Google ScholarDigital Library
- M. Vuran, O. Akan, and I. Akyildiz. Spatio-temporal correlation: Theory and application for wireless sensor networks. Computer Networks, 2004. Google ScholarDigital Library
- C. Wu, B. Clipp, X. Li, J. Frahm, and M. Pollefeys. 3d model matching with viewpoint invariant patches (vips). Proc. of IEEE CVPR, 2008.Google Scholar
- K. Wu, Y. Jiang, and G. Hu. A calculus for information-driven networks. Proc. of IEEE IWQoS, 2009.Google Scholar
- X. Ning and C. Cassandras. Optimal cluster-head deployment in wireless sensor networks with redundant link requirements. Valuetools, 2007. Google ScholarDigital Library
Index Terms
- Information processing for live photo mosaic with a group of wireless image sensors
Recommendations
Live photo mosaic with a group of wireless image sensors
SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor SystemsPhoto 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 ...
Image sensing under unfavorable photographic conditions with a group of wireless image sensors
IPSN '10: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor NetworksWe investigate the problem of image sensing under unfavorable photographic conditions in a wireless image sensor network. In the scenes with deflective and/or reflective medium such as fogs, mirrors, glasses, degraded images are captured by those image ...
Adaptive sensing and optimal power allocation for wireless video sensors with sigma-delta imager
Special section on distributed camera networks: sensing, processing, communication, and implementationWe consider optimal power allocation for wireless video sensors (WVSs), including the image sensor subsystem in the system analysis. By assigning a power-rate-distortion (P-R-D) characteristic for the image sensor, we build a comprehensive P-R-D ...
Comments