Detail publikace

Beyond Cognitive Signals

ESPINOSA-DURÓ, V. FAÚNDEZ ZANUY, M. MEKYSKA, J.

Originální název

Beyond Cognitive Signals

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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).

Klíčová slova

image analysis, information theory, face, thermal image, visible image, near-infrared image

Autoři

ESPINOSA-DURÓ, V.; FAÚNDEZ ZANUY, M.; MEKYSKA, J.

Rok RIV

2010

Vydáno

20. 3. 2010

Nakladatel

Springer New York

ISSN

1866-9956

Periodikum

Cognitive Computation

Ročník

2

Číslo

3

Stát

Spojené státy americké

Strany od

1

Strany do

8

Strany počet

8

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"
}