High Resolution Image Reconstruction with Smart Camera Network

In this work, a framework of
feature distribution scheme is proposed for object
matching. In this approach, information is distributed in
such a way that each individual node maintains only a
small amount of information about the objects seen by
the network. Nevertheless, this amount is sufficient to
efficiently route queries through the network without
any degradation of the matching performance. Digital
image processing approaches have been investigated to
reconstruct a high resolution image from aliased low
resolution images. The accurate registrations between
low resolution images are very important to the
reconstruction of a high resolution image. The proposed
feature distribution scheme results in far lower network
traffic load. To achieve the maximum performance as
with the full distribution of feature vectors, a set of
requirements regarding abstraction, storage space,
similarity metric and convergence has been proposed to
implement this work in C++ andQT.