The talk will consider relations among different views and scales in imaging, optimisation strategies in the
sensors' networks, graph-based image features, clustering and recognition on connected features' structure, and
stochastic image alignment.
I will also introduce the problems and some solutions for freely positioned camera/sensor networks: how can we solve
the connectedness problem of flexible camera networks? What could be the fitness function for registering views in
unstructured environment? I will also show that shadow might be beneficial after it has been successfully detected.
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