Abstract
An augmented reality based visual prothesis for people affected by tunnel vision is described in this paper. Using a head mounted display, useful information of the environment is superimposed on the own patient’s view, to enhance the user’s knowledge of the environment. That information is extracted by processing the images obtained from a camera. In order to provide versatility to the system and to accomplish the requirement of high performance, the image processing algorithm is performed with a cellular neural network, implemented on an FPGA device. The discrete CNN model proposed is derived from the continuous model, and details of its hardware implementation and the overall system architecture are reported.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chua, L.O., Yang, L.: Cellular neural networks: theory. IEEE Trans. Circuits and Systems CAS-35 (1988)
Nagy, Z., Szolgay, P.: Configurable multi-layer CNN-UM emulator on FPGA. In: Proc. IEEE Int. Workshop on Cellular Neural Networks and Their Applications, Frankfurt, Germany, pp. 164–171 (2002)
Malki, S., Spaanenburg, L.: CNN image processing on a Xilinx Virtex–II 6000. In: Proc. European Conference on Circuit Theory and Design, Krakow, Poland, pp. 261–264 (2003)
Martínez, J.J., Toledo, F.J., Ferrández, J.M.: New emulated discrete model of CNN architecture for FPGA and DSP applications. In: Mira, J., Álvarez, J.R. (eds.) IWANN 2003. LNCS, vol. 2687, pp. 33–40. Springer, Heidelberg (2003)
Azuma, R.T.: A survey of augmented reality. Presence: Teleoperators and virtual environments 6(4), 355–385 (1997)
Vargas Martín, F., Peli, E.: Augmented view for tunnel vision: device testing by patients in real environments. In: Digest of Technical Papers, Society for Information Display International Symposium, San Jose, USA, pp. 602–605 (2001)
Toledo, F.J., Martínez, J.J., Garrigós, F.J., Ferrández, J.M.: Augmented reality system for visually impaired people based on FPGA. In: Proc. 4th IASTED Int. Conf. on Visualization, Imaging and Image Processing, Marbella, Spain, pp. 715–723 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Toledo, F.J., Martínez, J.J., Garrigós, F.J., Ferrández, J.M. (2005). An Augmented Reality Visual Prothesis for People Affected by Tunneling Vision. In: Mira, J., Álvarez, J.R. (eds) Mechanisms, Symbols, and Models Underlying Cognition. IWINAC 2005. Lecture Notes in Computer Science, vol 3561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499220_33
Download citation
DOI: https://doi.org/10.1007/11499220_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26298-5
Online ISBN: 978-3-540-31672-5
eBook Packages: Computer ScienceComputer Science (R0)