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We propose a novel and robust computational framework for automatic detection of deformed 2D wallpaper patterns in real-world images. The theory of 2D crystallographic groups provides a sound and natural correspondence between the underlying lattice of a deformed wallpaper pattern and a degree-4 graphical model. We start the discovery process with unsupervised clustering of interest points and voting...
An efficient and accurate face modeling based on Garbor wavelet network (GWN) is introduced. GWN is very useful because it can create sparse representation of object for fast matching and it is a biologically motivated feature. However the beauty of GWN is offset by inefficient time-consuming modeling of objects. Therefore an efficient and accurate modeling method is needed for GWN. GWN prior for...
A mechanism for efficient mean-shift belief propagation (MSBP) is introduced. The novelty of our work is to use mean-shift to perform nonparametric mode-seeking on belief surfaces generated within the belief propagation framework. Belief propagation (BP) is a powerful solution for performing inference in graphical models. However, there is a quadratic increase in the cost of computation with respect...
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