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GPU Implementation of a Bio-inspired Vision Model

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Advances in Computational Intelligence (IWANN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6691))

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Abstract

This paper describes the implementation of a bio-inspired visual processing model which aims to remark the relevant information from a scene to generate different kinds of stimuli such as visual, haptic or audio stimuli, useful in aid systems for visually impaired persons. Desirable features for such system are real-time operation, minimum latency and portability. To meet all these requirements we have implemented the whole model in the GPU NVIDIA ION2 which is integrated in a light-weight netbook and performs at a maximum rate of 35 frames per second.

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Author information

Authors and Affiliations

  1. Dept. of Computer Architecture and Technology, University of Granada, Spain

    Raquel Ureña, Christian Morillas, Samuel Romero & Francisco J. Pelayo

Authors
  1. Raquel Ureña
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  2. Christian Morillas
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  3. Samuel Romero
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  4. Francisco J. Pelayo
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Editor information

Editors and Affiliations

  1. Departament d’Enginyeria Electrònica, Universitat Politècnica de Catalunya (UPC), Campus Nord, Edificio C4, c/ Gran Capità s/n, 08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada, C/ Periodista Daniel Saucedo Aranda, 18071, Granada, Spain

    Ignacio Rojas

  3. Departamento Tecnologia Eletrónica, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Gonzalo Joya

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© 2011 Springer-Verlag Berlin Heidelberg

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Ureña, R., Morillas, C., Romero, S., Pelayo, F.J. (2011). GPU Implementation of a Bio-inspired Vision Model. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21501-8_52

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  • DOI: https://doi.org/10.1007/978-3-642-21501-8_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21500-1

  • Online ISBN: 978-3-642-21501-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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