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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UreƱa, 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
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