Georg Hartmann

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The fast simulation of large networks of spiking neurons is a major task for the examination of biology-inspired vision systems. Networks of this type label features by synchronization of spikes and there is strong demand to simulate these eeects in real world environments. As the calculations for one model neuron are complex, the digital simulation of(More)
The recognition of 3-D objects is surely one of the most challenging goals in computer vision. In this paper we present a robot vision system that analyzes its environment by active vision techniques. Therefore, the system is gathering information about an object in the scene by taking multiple views. It is designed as a hybrid system that brings together(More)
The labeling of features by synchronization of spikes seems to be a very efficient encoding scheme for a visual system. Simulation of a vision system with millions of pulse-coded model neurons, however, is almost impossible on the base of available processors including parallel processors and neurocomputers. A "one-to-one" silicon implementation of(More)
[Bar98] K. Barnard. Modeling scene illumination colour for computer vision and image reproduction: A survey of computational approaches. [Bar00] K. Barnard. Improvements to gamut mapping colour constancy algorithms. A comparison of computational colour constancy algorithms: Part one: Methodology and experiments with synthesized data. texture-based image(More)