Towards a Neurocognitive Model of Visual Perception

Natural and artificial vision systems differ considerably in their underlying hardware and their method of information processing. Nevertheless, biological concepts are relevant, adaptable and useful in solving hard computer vision problems. This paper presents a biologically-inspired active vision framework that emulates early visual processing at the neuronal level to accomplish a range of visual tasks. Its emergent behavior is found to be qualitatively similar to humans in certain contexts, and performance is shown to be comparable to computer vision algorithms on a saliency detection task. A neurocognitive model of visual perception based on this framework is motivated.