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3D face reconstruction is an efficient method for pedestrian recognition in non-cooperative environment because of its outstanding performance in robust face recognition for uncontrolled pose and illumination changes. Visual sensor network is widely used in target surveillance as powerful unattended distributed measurement systems. This paper proposes a(More)
Due to huge amount of visual surveillance data, network congestion and latency is serious problem for surveillance applications. To reduce the data amount, data compression must be done before transmission. Compressive sensing is a new theory that sample and compress signals at the same time with little cost of bandwidth and energy for transmission. While(More)
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