Illuminated face normalization technique by using wavelet fusion and local binary patterns

Andrew B J Teoh, Y. Z. Goh, Michael Goh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Performance of a face recognition system has not been satisfied due to the illumination variation on facial image. Thus, there were many works that dealing with illumination compensation in face recognition in the past decades. One of the important techniques is to remove the illumination component based on the Illumination Reflectance model. In this paper, a facial image illumination invariant algorithm is devised based on the fusion of wavelet analysis and local binary pattern. The algorithm first removes the coefficients in logarithm wavelet approximation subband to get rid of illumination component. Next, reflectance component of facial image is then enhanced through the mapping of local binary pattern histogram. Finally, two processed images are combined through wavelet image fusion. Experiment results show that the proposed technique is promising in achieving the illumination invariant for facial images.

Original languageEnglish
Title of host publication2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Pages422-427
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam
Duration: 2008 Dec 172008 Dec 20

Other

Other2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
CountryViet Nam
CityHanoi
Period08/12/1708/12/20

Fingerprint

Lighting
Face recognition
Image fusion
Wavelet analysis
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Teoh, A. B. J., Goh, Y. Z., & Goh, M. (2008). Illuminated face normalization technique by using wavelet fusion and local binary patterns. In 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 (pp. 422-427). [4795556] https://doi.org/10.1109/ICARCV.2008.4795556
Teoh, Andrew B J ; Goh, Y. Z. ; Goh, Michael. / Illuminated face normalization technique by using wavelet fusion and local binary patterns. 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008. 2008. pp. 422-427
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abstract = "Performance of a face recognition system has not been satisfied due to the illumination variation on facial image. Thus, there were many works that dealing with illumination compensation in face recognition in the past decades. One of the important techniques is to remove the illumination component based on the Illumination Reflectance model. In this paper, a facial image illumination invariant algorithm is devised based on the fusion of wavelet analysis and local binary pattern. The algorithm first removes the coefficients in logarithm wavelet approximation subband to get rid of illumination component. Next, reflectance component of facial image is then enhanced through the mapping of local binary pattern histogram. Finally, two processed images are combined through wavelet image fusion. Experiment results show that the proposed technique is promising in achieving the illumination invariant for facial images.",
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Teoh, ABJ, Goh, YZ & Goh, M 2008, Illuminated face normalization technique by using wavelet fusion and local binary patterns. in 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008., 4795556, pp. 422-427, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, Hanoi, Viet Nam, 08/12/17. https://doi.org/10.1109/ICARCV.2008.4795556

Illuminated face normalization technique by using wavelet fusion and local binary patterns. / Teoh, Andrew B J; Goh, Y. Z.; Goh, Michael.

2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008. 2008. p. 422-427 4795556.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Performance of a face recognition system has not been satisfied due to the illumination variation on facial image. Thus, there were many works that dealing with illumination compensation in face recognition in the past decades. One of the important techniques is to remove the illumination component based on the Illumination Reflectance model. In this paper, a facial image illumination invariant algorithm is devised based on the fusion of wavelet analysis and local binary pattern. The algorithm first removes the coefficients in logarithm wavelet approximation subband to get rid of illumination component. Next, reflectance component of facial image is then enhanced through the mapping of local binary pattern histogram. Finally, two processed images are combined through wavelet image fusion. Experiment results show that the proposed technique is promising in achieving the illumination invariant for facial images.

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Teoh ABJ, Goh YZ, Goh M. Illuminated face normalization technique by using wavelet fusion and local binary patterns. In 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008. 2008. p. 422-427. 4795556 https://doi.org/10.1109/ICARCV.2008.4795556