We consider the template matching problem, in which one wants to find all good enough occurrences of a pattern template P from a larger image I. The current standard of template m...
We investigate randomised algorithms for subset matching with spatial point sets—given two sets of d-dimensional points: a data set T consisting of n points and a pattern P consi...
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
We present a method fortexturesynthesisbased on thesimulation of a process of local nonlinear interaction, called reaction-diffusion, which has been proposed as a model of biologi...
This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...