SVDD-Based illumination compensation for face recognition

Sang Woong Lee; Seong Whan Lee

SVDD-Based illumination compensation for face recognition

Sang Woong Lee, Seong Whan Lee

Department of Brain and Cognitive Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Illumination change is one of most important and difficult problems which prevent from applying face recognition to real applications. For solving this, we propose a method to compensate for different illumination conditions based on SVDD(Support Vector Data Description). In the proposed method, we first consider the SVDD training for the data belonging to the facial images under various illuminations, and model the data region for each illumination as the ball resulting from the SVDD training. Next, we compensate for illumination changes using feature vector projection onto the decision boundary of the SVDD ball. Finally, we obtain the pre-image under the identical illumination with input image. By repeated for each person, we can recognize a person with facial images under same illumination. We also perform the face recognition in order to verify the efficacy of proposed method.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	154-162
Number of pages	9
Volume	4642 LNCS
Publication status	Published - 2007 Dec 1
Event	2007 International Conference on Advances in Biometrics, ICB 2007 - Seoul, Korea, Republic of Duration: 2007 Aug 27 → 2007 Aug 29

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4642 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	2007 International Conference on Advances in Biometrics, ICB 2007
Country	Korea, Republic of
City	Seoul
Period	07/8/27 → 07/8/29

Keywords

Face recognition
Face reconstruction
Illumination compensation
Noise
Support vector data description

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Computer Science(all)
Theoretical Computer Science

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Lee, S. W., & Lee, S. W. (2007). SVDD-Based illumination compensation for face recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4642 LNCS, pp. 154-162). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4642 LNCS).

SVDD-Based illumination compensation for face recognition. / Lee, Sang Woong; Lee, Seong Whan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4642 LNCS 2007. p. 154-162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4642 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, SW & Lee, SW 2007, SVDD-Based illumination compensation for face recognition. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4642 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4642 LNCS, pp. 154-162, 2007 International Conference on Advances in Biometrics, ICB 2007, Seoul, Korea, Republic of, 07/8/27.

Lee SW, Lee SW. SVDD-Based illumination compensation for face recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4642 LNCS. 2007. p. 154-162. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Lee, Sang Woong ; Lee, Seong Whan. / SVDD-Based illumination compensation for face recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4642 LNCS 2007. pp. 154-162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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