This paper considers arguments for the necessity of embodiment in cognitive vision systems. We begin by delineating the scope of cognitive vision, and follow this by a survey of t...
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
We describe the challenge of combining continuous computer vision techniques and qualitative, symbolic methods to achieve a system capable of cognitive vision. Key to a truly cogni...
Anthony G. Cohn, David C. Hogg, Brandon Bennett, V...
Abstract. "Cognitive computer vision is concerned with integration and control of vision systems using explicit but not necessarily symbolic models of context, situation and g...
Cognitive vision is an area that is not yet well-defined, in the sense that one can unambiguously state what issues fall under its purview and what considerations do not. Neither i...
Extracting automatically the semantics from visual data is a real challenge. We describe in this paper how recent work in cognitive vision leads to significative results in activi...
Abstract. Although dopamine is one of the most studied neurotransmitter in the brain, its exact function is still unclear. This short review focuses on its role in different level...
Owing to the ever growing complexity of present day computer vision systems, system architecture has become an emerging topic in vision research. Systems that integrate numerous m...
Christian Bauckhage, Gerhard Sagerer, Markus Vincz...