T. M. Bernard and F. Paillet, Output methods for an associative operation of programmable artificial retinas, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97, pp.752-757, 1997.
DOI : 10.1109/IROS.1997.655095

N. Burrus and T. Bernard, Adaptive Vision Leveraging Digital Retinas: Extracting Meaningful Segments, ACIVS, 2006.
DOI : 10.1007/11864349_20
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.554.4333

P. J. Burt, The pyramid as a structure for efficient computation. Multiresolution Image Processing and Analysis, pp.6-35, 1984.

P. J. Burt and E. H. Adelson, The laplacian pyramid as a compact image code, IEEE Transactions on Communications, pp.532-540, 1983.

V. Gies, Increasing Interconnection Network Connectivity for Reducing Operator Complexity in Asynchronous Vision Systems, 2005.
DOI : 10.1007/978-3-540-31965-8_1

R. Hummel, The scale-space formulation of pyramid data structures. Parallel Computer Vision, pp.107-123, 1987.

L. Itti and P. Baldi, A principled approach to detecting surprising events in vide, pp.1063-69, 2005.

L. Itti and C. Koch, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, pp.1254-59, 1998.
DOI : 10.1109/34.730558

L. Itti and C. Koch, A saliency-based search mechanism for overt and covert shifts of visual attention, Vision Research, vol.40, issue.10-12, pp.1489-1506, 2000.
DOI : 10.1016/S0042-6989(99)00163-7

C. Koch and S. Ullman, Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry, Human Neurobiology, vol.4, pp.219-227, 1985.
DOI : 10.1007/978-94-009-3833-5_5

P. Meer, Simulation of constant size multiresolution representations on image pyramids, Pattern Recognition Letters, vol.8, issue.4, pp.229-236, 1988.
DOI : 10.1016/0167-8655(88)90030-X

P. Meer, Stochastic image pyramids Computer Vision, Graphics, and Image Processing, pp.269-294, 1989.

N. Ouerhani, Visual Attention : From Bio-Inspired Modeling to Real-Time Implementation, 2003.

A. M. Treisman and K. Gelade, A feature-integration theory of attention, Cognitive Psychology, vol.12, issue.1, pp.97-136, 1980.
DOI : 10.1016/0010-0285(80)90005-5