Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Face Recognition under uncontrolled illumination conditions is partly an unsolved problem. Several illumination correction methods have been proposed, but these are usually tested on illumination conditions created in a laboratory. Our focus is more on uncontrolled conditions. We use the Phong model which allows us to model ambient light in shadow areas. By estimating the face surface and illumination conditions, we are able to reconstruct a face image containing frontal illumination. The reconstructed face images give a large improvement in performance of face recognition in uncontrolled conditions.
Original languageUndefined
Title of host publicationComputer Analysis of Images and Patterns 2009
Place of PublicationBerlin
PublisherSpringer
Pages33-40
Number of pages8
ISBN (Print)978-3-642-03766-5
DOIs
Publication statusPublished - 29 Aug 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume5702/2009

Keywords

  • METIS-264216
  • IR-68801
  • Surface Reconstruction
  • EWI-16958
  • Face Recognition
  • Illumination Correction
  • SCS-Safety
  • Uncontrolled

Cite this

Boom, B. J., Spreeuwers, L. J., & Veldhuis, R. N. J. (2009). Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios. In Computer Analysis of Images and Patterns 2009 (pp. 33-40). [10.1007/978-3-642-03767-2] (Lecture Notes in Computer Science; Vol. 5702/2009). Berlin: Springer. https://doi.org/10.1007/978-3-642-03767-2_4, https://doi.org/10.1007/978-3-642-03767-2
Boom, B.J. ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. / Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios. Computer Analysis of Images and Patterns 2009. Berlin : Springer, 2009. pp. 33-40 (Lecture Notes in Computer Science).
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title = "Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios",
abstract = "Face Recognition under uncontrolled illumination conditions is partly an unsolved problem. Several illumination correction methods have been proposed, but these are usually tested on illumination conditions created in a laboratory. Our focus is more on uncontrolled conditions. We use the Phong model which allows us to model ambient light in shadow areas. By estimating the face surface and illumination conditions, we are able to reconstruct a face image containing frontal illumination. The reconstructed face images give a large improvement in performance of face recognition in uncontrolled conditions.",
keywords = "METIS-264216, IR-68801, Surface Reconstruction, EWI-16958, Face Recognition, Illumination Correction, SCS-Safety, Uncontrolled",
author = "B.J. Boom and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.}",
note = "10.1007/978-3-642-03767-2",
year = "2009",
month = "8",
day = "29",
doi = "10.1007/978-3-642-03767-2_4",
language = "Undefined",
isbn = "978-3-642-03766-5",
series = "Lecture Notes in Computer Science",
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pages = "33--40",
booktitle = "Computer Analysis of Images and Patterns 2009",

}

Boom, BJ, Spreeuwers, LJ & Veldhuis, RNJ 2009, Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios. in Computer Analysis of Images and Patterns 2009., 10.1007/978-3-642-03767-2, Lecture Notes in Computer Science, vol. 5702/2009, Springer, Berlin, pp. 33-40. https://doi.org/10.1007/978-3-642-03767-2_4, https://doi.org/10.1007/978-3-642-03767-2

Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios. / Boom, B.J.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.

Computer Analysis of Images and Patterns 2009. Berlin : Springer, 2009. p. 33-40 10.1007/978-3-642-03767-2 (Lecture Notes in Computer Science; Vol. 5702/2009).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios

AU - Boom, B.J.

AU - Spreeuwers, Lieuwe Jan

AU - Veldhuis, Raymond N.J.

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PY - 2009/8/29

Y1 - 2009/8/29

N2 - Face Recognition under uncontrolled illumination conditions is partly an unsolved problem. Several illumination correction methods have been proposed, but these are usually tested on illumination conditions created in a laboratory. Our focus is more on uncontrolled conditions. We use the Phong model which allows us to model ambient light in shadow areas. By estimating the face surface and illumination conditions, we are able to reconstruct a face image containing frontal illumination. The reconstructed face images give a large improvement in performance of face recognition in uncontrolled conditions.

AB - Face Recognition under uncontrolled illumination conditions is partly an unsolved problem. Several illumination correction methods have been proposed, but these are usually tested on illumination conditions created in a laboratory. Our focus is more on uncontrolled conditions. We use the Phong model which allows us to model ambient light in shadow areas. By estimating the face surface and illumination conditions, we are able to reconstruct a face image containing frontal illumination. The reconstructed face images give a large improvement in performance of face recognition in uncontrolled conditions.

KW - METIS-264216

KW - IR-68801

KW - Surface Reconstruction

KW - EWI-16958

KW - Face Recognition

KW - Illumination Correction

KW - SCS-Safety

KW - Uncontrolled

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DO - 10.1007/978-3-642-03767-2_4

M3 - Conference contribution

SN - 978-3-642-03766-5

T3 - Lecture Notes in Computer Science

SP - 33

EP - 40

BT - Computer Analysis of Images and Patterns 2009

PB - Springer

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Boom BJ, Spreeuwers LJ, Veldhuis RNJ. Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios. In Computer Analysis of Images and Patterns 2009. Berlin: Springer. 2009. p. 33-40. 10.1007/978-3-642-03767-2. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-03767-2_4, https://doi.org/10.1007/978-3-642-03767-2