Biological models for active vision: towards a unified architecture

Terzic, Kasim; Lobato, D.; Saleiro, Mário; Martins, Jaime; Farrajota, Miguel; Rodrigues, J. M. F.; du Buf, J. M. H.

http://hdl.handle.net/10400.1/3395

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Abstract(s)

Building a general-purpose, real-time active vision system completely based on biological models is a great challenge. We apply a number of biologically plausible algorithms which address different aspects of vision, such as edge and keypoint detection, feature extraction,optical flow and disparity, shape detection, object recognition and scene modelling into a complete system. We present some of the experiments from our ongoing work, where our system leverages a combination of algorithms to solve complex tasks.

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http://hdl.handle.net/10400.1/3395

Citation

Terzic, Kasim; Lobato, David; Saleiro, Mário; Martins, Jaime; Farrajota, Miguel; Rodrigues, J. M. F.; Buf, J. M. H.Biological Models for Active Vision: Towards a Unified Architecture, In Computer Vision Systems, 113-122, ISBN: 978-3-642-39401-0. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.