Model-based reconstruction for illumination variation in face images

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

3 Citations (Scopus)
37 Downloads (Pure)

Abstract

We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontrolled illumination conditions. We correct the illumination variation in the face images using a face shape model, which allows us to estimate the face shape in the face image. Using this face shape, we can reconstruct a face image under frontal illumination. These reconstructed images improve the results in face identification. We experimented both with face images acquired under different controlled illumination conditions in a laboratory and under uncontrolled illumination conditions.
Original languageUndefined
Title of host publication8th IEEE International Conference on Automatic Face and Gesture Recognition
Place of PublicationLos Alamitos
PublisherIEEE Computer Society Press
Pages1-6
Number of pages6
ISBN (Print)978-1-4244-2154-1
DOIs
Publication statusPublished - 19 Sep 2008
Event8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 - Amsterdam, Netherlands
Duration: 17 Sep 200819 Sep 2008
Conference number: 8

Publication series

Name
PublisherIEEE Computer Society Press

Conference

Conference8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
Abbreviated titleFG
CountryNetherlands
CityAmsterdam
Period17/09/0819/09/08

Keywords

  • EWI-13514
  • SCS-Safety
  • Face Recognition
  • IR-65006
  • Illumination Normalization
  • METIS-263690

Cite this

Boom, B. J., Spreeuwers, L. J., & Veldhuis, R. N. J. (2008). Model-based reconstruction for illumination variation in face images. In 8th IEEE International Conference on Automatic Face and Gesture Recognition (pp. 1-6). [10.1109/AFGR.2008.4813364] Los Alamitos: IEEE Computer Society Press. https://doi.org/10.1109/AFGR.2008.4813364
Boom, B.J. ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. / Model-based reconstruction for illumination variation in face images. 8th IEEE International Conference on Automatic Face and Gesture Recognition. Los Alamitos : IEEE Computer Society Press, 2008. pp. 1-6
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title = "Model-based reconstruction for illumination variation in face images",
abstract = "We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontrolled illumination conditions. We correct the illumination variation in the face images using a face shape model, which allows us to estimate the face shape in the face image. Using this face shape, we can reconstruct a face image under frontal illumination. These reconstructed images improve the results in face identification. We experimented both with face images acquired under different controlled illumination conditions in a laboratory and under uncontrolled illumination conditions.",
keywords = "EWI-13514, SCS-Safety, Face Recognition, IR-65006, Illumination Normalization, METIS-263690",
author = "B.J. Boom and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.}",
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doi = "10.1109/AFGR.2008.4813364",
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Boom, BJ, Spreeuwers, LJ & Veldhuis, RNJ 2008, Model-based reconstruction for illumination variation in face images. in 8th IEEE International Conference on Automatic Face and Gesture Recognition., 10.1109/AFGR.2008.4813364, IEEE Computer Society Press, Los Alamitos, pp. 1-6, 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008, Amsterdam, Netherlands, 17/09/08. https://doi.org/10.1109/AFGR.2008.4813364

Model-based reconstruction for illumination variation in face images. / Boom, B.J.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.

8th IEEE International Conference on Automatic Face and Gesture Recognition. Los Alamitos : IEEE Computer Society Press, 2008. p. 1-6 10.1109/AFGR.2008.4813364.

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

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T1 - Model-based reconstruction for illumination variation in face images

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AU - Spreeuwers, Lieuwe Jan

AU - Veldhuis, Raymond N.J.

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N2 - We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontrolled illumination conditions. We correct the illumination variation in the face images using a face shape model, which allows us to estimate the face shape in the face image. Using this face shape, we can reconstruct a face image under frontal illumination. These reconstructed images improve the results in face identification. We experimented both with face images acquired under different controlled illumination conditions in a laboratory and under uncontrolled illumination conditions.

AB - We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontrolled illumination conditions. We correct the illumination variation in the face images using a face shape model, which allows us to estimate the face shape in the face image. Using this face shape, we can reconstruct a face image under frontal illumination. These reconstructed images improve the results in face identification. We experimented both with face images acquired under different controlled illumination conditions in a laboratory and under uncontrolled illumination conditions.

KW - EWI-13514

KW - SCS-Safety

KW - Face Recognition

KW - IR-65006

KW - Illumination Normalization

KW - METIS-263690

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DO - 10.1109/AFGR.2008.4813364

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BT - 8th IEEE International Conference on Automatic Face and Gesture Recognition

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Boom BJ, Spreeuwers LJ, Veldhuis RNJ. Model-based reconstruction for illumination variation in face images. In 8th IEEE International Conference on Automatic Face and Gesture Recognition. Los Alamitos: IEEE Computer Society Press. 2008. p. 1-6. 10.1109/AFGR.2008.4813364 https://doi.org/10.1109/AFGR.2008.4813364