Roman Sailer

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Computational models of visual processing often use framebased image acquisition techniques to process a temporally changing stimulus. This approach is unlike biological mechanisms that are spikebased and independent of individual frames. The neuromorphic Dynamic Vision Sensor (DVS) [Lichtsteiner et al., 2008] provides a stream of independent visual events(More)
Event-based vision sensors sample individual pixels at a much higher temporal resolution and provide a representation of the visual input available in their receptive fields that is temporally independent of neighboring pixels. The information available on pixel level for subsequent processing stages is reduced to representations of changes in the local(More)
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