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Proceedings Paper

Artificial human vision camera
Author(s): J.-F. Goudou; S. Maggio; M. Fagno
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Paper Abstract

In this paper we present a real-time vision system modeling the human vision system. Our purpose is to inspire from human vision bio-mechanics to improve robotic capabilities for tasks such as objects detection and tracking. This work describes first the bio-mechanical discrepancies between human vision and classic cameras and the retinal processing stage that takes place in the eye, before the optic nerve. The second part describes our implementation of these principles on a 3-camera optical, mechanical and software model of the human eyes and associated bio-inspired attention model.

Paper Details

Date Published: 31 October 2014
PDF: 9 pages
Proc. SPIE 9254, Emerging Technologies in Security and Defence II; and Quantum-Physics-based Information Security III, 92540U (31 October 2014); doi: 10.1117/12.2074129
Show Author Affiliations
J.-F. Goudou, Thales VisionLab (France)
S. Maggio, Thales VisionLab (France)
M. Fagno, Thales VisionLab (France)


Published in SPIE Proceedings Vol. 9254:
Emerging Technologies in Security and Defence II; and Quantum-Physics-based Information Security III
Keith L. Lewis; Mark T. Gruneisen; Miloslav Dusek; Richard C. Hollins; Thomas J. Merlet; John G. Rarity; Alexander Toet, Editor(s)

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