Wörgötter, Florentin and Krüger, Norbert and Pugeault, Nicolas and Calow, Dirk and Lappe, Markus and Pauwels, Karl and Van Hulle, Marc M. and Tan, Sovira and Johnston, Alan

Natural Computing, vol. 3(3), pp. 293–321, 2004

BibTeX Citation
Publisher Site

The goal of this review is to discuss different strategies employed by the visual system to limit data-flow and to focus data processing. These strategies can be hard-wired, like the eccentricity-dependent visual resolution or they can be dynamically changing like mechanisms of visual attention. We will ask to what degree such strategies are also useful in a computer vision context. Specifically we will discuss, how to adapt them to technical systems where the substrate for the computations is vastly different from that in the brain. It will become clear that most algorithmic principles, which are employed by natural visual systems, need to be reformulated to better fit to modern computer architectures. In addition, we will try to show that it is possible to employ multiple strategies in parallel to arrive at a flexible and robust computer vision system based on recurrent feedback loops and using information derived from the statistics of natural images.