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dc.contributor.author Hülse, Martin
dc.contributor.author McBride, Sebastian
dc.contributor.author Lee, Mark
dc.date.accessioned 2010-12-07T12:00:24Z
dc.date.available 2010-12-07T12:00:24Z
dc.date.issued 2010-11
dc.identifier.citation Hülse , M , McBride , S & Lee , M 2010 , ' Gaze modulated visual search integrating spatial and feature data : Embodied visual memory for robotic systems II ' pp. 167-168 . en
dc.identifier.other PURE: 154927
dc.identifier.other dspace: 2160/5990
dc.identifier.uri http://hdl.handle.net/2160/5990
dc.description Huelse, M., McBride, S., Lee, M.: Gaze modulated visual search integrating spatial and feature data; Embodied visual memory for robotic systems II. In: Johansson, B., Sahin, E., Balkenius, Ch. (Eds) Proc. 10th Int. Conf. on Epigenetic Robotics 2010 (EpiRob 2010), Lund University Cognitive Studies, 149, Sweden, 2010, 167-168. en
dc.description.abstract Substantial evidence supports the role of lateral intraparietal region (LIP) of the brain as the central processing point where bottom-up visual information is modulated by top-down task information from higher cortical structures. It also contains a global egocentric as opposed to a local retinotopic mapping and thus is also considered critical for the accumulation of a coherent view of the surrounding environment in the context of an ever changing visual scene. We have developed an active vision system architecture based on the LIP structure as its central element. This architecture, as an extension of that previously presented, now considers feature data and has the ability to modulate visual search according to specific object properties. This architecture is discussed in terms of its ability to generate visual search for active robotic vision systems. en
dc.format.extent 2 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Gaze modulated visual search integrating spatial and feature data : Embodied visual memory for robotic systems II en
dc.type Still image en
dc.type.publicationtype Conference poster en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Peer reviewed en


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