Vision without Frames: A Semiotic Paradigm of Event Based Computer Vision |
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Authors: | Ryad Benosman |
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Institution: | (1) Institute of Intelligent Systems and Robotics, UMR 7222, University Pierre and Marie Curie, 4 Place Jussieu, 75252 Paris CEDEX 05, France |
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Abstract: | Conventional imagers and almost all vision processes use and rely on theories that are based on the principle of static image-frames.
A frame is a 2D matrix that represents the spatial locations of intensities of a scene projected on the imager. The notion
of a frame itself is so embedded in machine vision, that it is usually taken for granted that this is how biological systems
store light information. This paper presents a biosinpired event-based image formation principle, which output data rely on
an asynchronous acquisition process. The generated information is stored in temporal volumes, which size and information depend
only on the dynamic content of observed scenes. Practical analysis of such information will shows that the processing of visual
information can only be based on a semiotic process. The paper also provides a general definition of the notion of visual
features as the interpretation of signs according to different possible readings of the codified visual signal. |
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