3 Result(s)
within
M. Proesmans
Pattern Recognition
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Chapter and Conference Paper
Non-Linear Diffusion as a Neuron-Like Paradigm for Low-Level Vision
Remote sensing puts high demands on image processing. It calls for state-of-the-art algorithms, e.g. neural networks. However, neural nets usually work on preprocessed data and the preprocessing steps themselv...
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Chapter and Conference Paper
Determination of optical flow and its discontinuities using non-linear diffusion
A new method for optical flow computation by means of a coupled set of non-linear diffusion equations is presented. This approach integrates the classical differential approach with the correlation type of mot...
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Chapter and Conference Paper
Geometry-Driven Diffusion: Coupled Diffusion Maps as a Model for Excitatory and Inhibitory Behaviour in Vision
We investigate the potential of coupled non-linear diffusion processes to provide an efficient and implementable model for the processing that takes place in the first stages along the visual pathway, and stud...
