Abstract
The paper presents a simulated mobile system that learns to solve the egolocation task in a known environment, in a supervised way, using a very low resolution sampling of the optical array and RBF approximation techniques. The impact of the number of sensors, of their layout, in particular of Sobol sequences with respect to regular grids for a progressively refined sampling of images, and of the complexity of response of each sensing unit has been investigated in an attempt to simplify as much as possible the architecture of the image processing module retaining good localization ability.
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REFERENCES
Bertamini, F., Brunelli, R., Lanz, O., Roat, A., Santuari, A., Tobia, F., and Xu, Q. (2003). Olympus: an ambient intelligence architecture on the verge of reality. In Proc. of ICIAP 2003, pages 232–237, Mantova, Italy.
Brunelli, R. and Mich, O. (2000). Image Retrieval by Examples. IEEE Transactions on Multimedia, 2(3):164–171.
Freeman, W. T. and Adelson, E. H. (1991). The design and use of steerable filter. IEEE Transactions on PAMI, 13(9):891–906.
Poggio, T., Fahle, M., and Edelman, S. (1992). Fast perceptual learning in visual hyperacuity. Science, 247:1018–1021.
Poggio, T. and Girosi, F. (1990). Regularization algorithms for learning that are equivalent to multilayer networks. Science, 247:978–982.
Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P. (1992). Numerical Recipes in C. Cambridge University Press, 2nd edition.
Schiele, B. and Crowley, J. L. (2000). Recognition without correspondence using multidimensional receptive field histograms. International Journal of Computer Vision, 36(1):31–50.
Snippe, J. and Koenderink, J. J. (1992). Discrimination thresholds for channel-coded systems. Biological Cybernetics, 66:543–551.
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Brunelli, R. (2006). LOW RESOLUTION IMAGE SAMPLING FOR PATTERN MATCHING. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_140
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DOI: https://doi.org/10.1007/1-4020-4179-9_140
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4178-5
Online ISBN: 978-1-4020-4179-2
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