Computer vision using biomimicking AI system
The aim of this thesis was to develop a biologically inspired model for unsupervised learning on visual data. A preprocessor inspired by the retina was developed, which generated event-camera like data. This can be used as a low-cost alternative to an event-camera. Further, a neuron model was developed which showed ability to learn useful features from video data in combination with the preprocess