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Extending the Depth of Field in Microscopy Through Curvelet-Based Frequency-Adaptive Image Fusion
TLDR
We propose a curvelet-based image fusion method that exploits the excellent ability of the curvelet transform to separate high and low frequency image content. Expand
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Camera selection for tracking in distributed smart camera networks
Tracking persons with multiple cameras with overlapping fields of view instead of with one camera leads to more robust decisions. However, operating multiple cameras instead of one requires moreExpand
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Context adaptive image denoising through modeling of curvelet domain statistics
TLDR
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that con- tain a significant noise-free component, which we call the "signal of interest," and those that do not. Expand
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A Distributed Coding-Based Extension of a Mono-View to a Multi-View Video System
TLDR
In this paper, we propose an efficient, flexible and low-complexity method for extending an existing mono video system to a 3D system. Expand
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Efficient approximate foreground detection for low-resource devices
TLDR
A broad range of very powerful foreground detection methods exist because this is an essential step in many computer vision algorithms. Expand
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A Distributed Coding-Based Content-Aware Multi-View Video System
TLDR
We present an efficient, flexible and content-aware coding method for a multi-view video system with a flexible number of smart Wyner-Ziv cameras. Expand
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Principal view determination for camera selection in distributed smart camera networks
TLDR
We address the problem of effectively determining the principle viewpoint within a network, i.e. the view that contributes most to the desired observation of a scene. Expand
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Sub-optimal Camera Selection in Practical Vision Networks through Shape Approximation
TLDR
We propose a greedy algorithm for camera selection in practical vision networks, and through experiments, we show the proposed protocols improve latency and observation frequency without deteriorating the performance. Expand
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Dempster-Shafer based multi-view occupancy maps
Presented is a method for calculating occupancy maps with a set of calibrated and synchronised cameras. In particular, Dempster-Shafer based fusion of the ground occupancies computed from each viewExpand
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Optimal camera selection in vision networks for shape approximation
TLDR
We propose low data rate schemes to select from a vision network a subset of cameras that provides a good frontal observation of the persons in the scene and allows for the best approximation of their 3D shape. Expand
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