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. © 2011 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Ureña, R., Morillas, C., Romero, S., & Pelayo, F. J. (2011). GPU implementation of a bio-inspired vision model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6691 LNCS, pp. 417–424). https://doi.org/10.1007/978-3-642-21501-8_52
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
