Öffentliche Verteidigung im Rahmen des Promotionsverfahrens
Herr Dipl.-Inf. Frederik Beuth
Fakultät für Informatik
Professur Künstliche Intelligenz
"Visual attention in primates and for machines - neuronal mechanisms"
11:00 Uhr, Straße der Nationen 62, Böttcher-Bau, 1/367 ( A10.367)
Visual attention is an important cognitive concept for the daily life of humans, but it is still not fully understood. Due to this, it is also rarely utilized in computer vision systems despite its strong benefits for human visual perception, due to missing understanding and uncertainty how to implement attention correctly. However, understanding visual attention is challenging as it has many and seemingly-different aspects, both at neuronal and behavioral level. Thus, it is very hard to give a uniform explanation of visual attention that accounts for all aspects. To tackle this problem, this doctoral thesis has the goal to identify a common set of neuronal mechanisms, which underlie both neuronal and behavioral aspects, and thus allows to explain a wide range of phenomena. In the thesis, the chosen aspects are multiple neurophysiological effects, real-world object localization, and a visual masking paradigm (OSM). In each of the considered fields, the work also advances the current state of-the-art to better understand this aspect of attention itself. The three chosen aspects highlight that the approach can account for crucial neurophysiological, functional, and behavioral properties of visual attention. As the mechanisms are able to account for attention under such a variation of view points, they might constitute the general neuronal substrate of visual attention in the cortex. Therefore, the work provides a deeper understanding of attention for the computer vision community, and in form of the neuronal mechanisms a concrete prototype implementation to incorporate this crucial aspect of human perception into future computer vision systems.