The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …

Back side illumination has become standard image sensor technology owing to its superior
quantum efficiency and fill factor. A direct comparison of front and back side illumination (FSI …

Visualising fluids and particles within channels is a key element of microfluidic work. Current
imaging methods for particle image velocimetry often require expensive high-speed …

Magneto-optic Kerr effect (MOKE) microscopy is a widely used technique for observation
and characterization of microscopic magnetic structures. While being efficient and easy-to …

A comprehensive analysis of the quantization error in spike-frequency-based image sensor
is presented. The image sensor generates different frequency spikes under various light …

The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …

The demonstration shows the differences between two novel Dynamic and Active Pixel
Vision Sensors (DAVIS). While both sensors are based on the same circuits and have the …

Purpose: Determining the borders of brain tumors, seizure foci, and their elimination in
patients with brain tumors is very important in preventing cancer recurrence. Multispectral …

Traditional visual sensor technology is firmly rooted in the concept of sequences of image
frames. The sequence of stroboscopic images in these" frame cameras" is very different …

In this thesis, different types of stereo matching algorithms for event-based vision sensors
are developed and analysed. The algorithms are based on a) single-event matching, b) …