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Proceedings Paper

Reconfigurable hardware for an augmented reality application
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Paper Abstract

An FPGA-based approach is proposed to build an augmented reality system in order to aid people affected by a visual disorder known as tunnel vision. The aim is to increase the user's knowledge of his environment by superimposing on his own view useful information obtained with image processing. Two different alternatives have been explored to perform the required image processing: a specific purpose algorithm to extract edge detection information, and a cellular neural network with the suitable template. Their implementations in reconfigurable hardware pursue to take advantage of the performance and flexibility that show modern FPGAs. This paper describes the hardware implementation of both the Canny algorithm and the cellular neural network, and the overall system architecture. Results of the implementations and examples of the system functionality are presented.

Paper Details

Date Published: 29 June 2005
PDF: 9 pages
Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); doi: 10.1117/12.608119
Show Author Affiliations
F. Javier Toledo Moreo, Univ. Politecnica de Cartagena (Spain)
J. Javier Martinez Alvarez, Univ. Politecnica de Cartagena (Spain)
F. Javier Garrigos Guerrero, Univ. Politecnica de Cartagena (Spain)
J. Manuel Ferrandez Vicente, Univ. Politecnica de Cartagena (Spain)

Published in SPIE Proceedings Vol. 5839:
Bioengineered and Bioinspired Systems II
Ricardo A. Carmona; Gustavo Linan-Cembrano, Editor(s)

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