In this paper a new technique is introduced for automatically building recognisable moving 3D models of individual people. Realistic modelling of people is essential for advanced ...
Adrian Hilton, Daniel Beresford, Thomas Gentils, R...
We describe experimental results for unsupervised recognition of the textual contents of book-images using fully automatic mutual-entropy-based model adaptation. Each experiment s...
Background: Quantification of different types of cells is often needed for analysis of histological images. In our project, we compute the relative number of proliferating hepatoc...
In this paper, we describe a set of compiler analyses and an implementation that automatically map a sequential and un-annotated C program into a pipelined implementation, targete...
This paper proposes an automatic foreground segmentation system based on Gaussian mixture models and dynamic graph cut algorithm. An adaptive perpixel background model is develope...