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International Conference on Advanced Concepts for Intelligent Vision Systems

ACIVS 2008: Advanced Concepts for Intelligent Vision Systems pp 1115–1123Cite as

Improved Infrared Face Identification Performance Using Nonuniformity Correction Techniques

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5259))

Abstract

In this paper, the face recognitions rate performance using infrared imagery is improved by adding nonuniformity pre-processing techniques. The infrared spectra contains the heat energy emitted by a face and it naturally present an insensitive behavior to variations in illuminations. Infrared imaging system can be formed by a Focal-Plane-Array technology, a group of photodetectors located in the focal plane of an imaging systems, but inherently present the nonuniformity as fixed-pattern noise that degrades the quality of infrared images. Additionally, this nonuniformity slowly varies over time, and depending on the technology used, this drift can take from minutes to hours. Due to this, the face identification performance is degraded over time, requiring a continuous-time calibrations method in order to maintain the face recognition rate using infrared imaging system. In synthesis, this work focuses on the evaluation of the degradation in pattern recognition performance produced by the fixed-pattern noise and the improvement when nonuniformity correction techniques is applied.

Financed by Universidad de La Frontera, Proyecto DIUFRO N o DI08-0048. S.T acknowledges support by grant Milenio ICM P02-049.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Universidad de La Frontera, Casilla 54-D, Temuco, Chile

    César San Mart ín, Pablo Meza & Roberto Carrillo

  2. Department of Electrical Engineering, Universidad de Concepción, Casilla 160-C, Concepción, Chile

    Sergio Torres

Authors
  1. César San Mart ín
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  2. Pablo Meza
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  3. Sergio Torres
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  4. Roberto Carrillo
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Editor information

Editors and Affiliations

  1. DGA/D4S/MRIS, 94114, Arcueil, France

    Jacques Blanc-Talon

  2. Ecole Centrale de Marseille, 13451, Marseille, France

    Salah Bourennane

  3. Ghent University, 9000, Gent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre, NSW 1710, Sydney, Australia

    Dan Popescu

  5. University of Antwerp, 2610, Wilrijk, Belgium

    Paul Scheunders

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© 2008 Springer-Verlag Berlin Heidelberg

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San Mart ín, C., Meza, P., Torres, S., Carrillo, R. (2008). Improved Infrared Face Identification Performance Using Nonuniformity Correction Techniques. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_101

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  • DOI: https://doi.org/10.1007/978-3-540-88458-3_101

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88457-6

  • Online ISBN: 978-3-540-88458-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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