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ESPINOSA-DURÓ, V. FAÚNDEZ ZANUY, M. MEKYSKA, J.
Original Title
Beyond Cognitive Signals
Type
journal article - other
Language
English
Original Abstract
Although audio-visual human systems have several well-known limitations, artificial sensors can measure information beyond our limits. What would happen if we were able to overcome our limitations? Would we be able to obtain a better knowledge of our environment? Or the information beyond our limits is redundant? In this paper, we compare infrared, thermal and visible images from an information theory point of view. We have acquired a small database and compared several measurements over these images. While infrasounds and ultrasounds are not directly applicable, for instance, to speaker recognition due to the impossibility of human beings generating sounds in these frequencies, this is not the case with image signals beyond the visible spectrum for face recognition. We have observed that visible, near-infrared and thermal images contain a small amount of redundancy (less than 1,55 bits).
Keywords
image analysis, information theory, face, thermal image, visible image, near-infrared image
Authors
ESPINOSA-DURÓ, V.; FAÚNDEZ ZANUY, M.; MEKYSKA, J.
RIV year
2010
Released
20. 3. 2010
Publisher
Springer New York
ISBN
1866-9956
Periodical
Cognitive Computation
Year of study
2
Number
3
State
United States of America
Pages from
1
Pages to
8
Pages count
BibTex
@article{BUT50065, author="Virginia {Espinosa-Duró} and Marcos {Faúndez Zanuy} and Jiří {Mekyska}", title="Beyond Cognitive Signals", journal="Cognitive Computation", year="2010", volume="2", number="3", pages="1--8", issn="1866-9956" }