Illumination compensation algorithm using eigenspaces transformation for facial images

Junyeong Yang, Hyeran Byun

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

Abstract

This paper presents a new low-dimensional face representation using the proposed eigenspaces transformation. The proposed algorithm is based on face images which is acquired with c illumination conditions. We define face images as a non-illumination class and illumination classes from light source conditions and derive the linear transformation function in a low-dimensional eigenspace between a non-illumination class and illumination classes. The proposed illumination compensation algorithm is composed of two steps. In the optimal projection space which is obtained from the DirectLDA algorithm, we first select the illumination class for a given image and then we generate a nonilluminated image by using eigenspace transformation of the illuminated class. We provide experimental results to demonstrate the performance of the proposed algorithm with varying parameters of proposed algorithm.

Original languageEnglish
Title of host publicationComputer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings
Pages192-199
Number of pages8
Publication statusPublished - 2007 Dec 20
Event3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques - Rocquencourt, France
Duration: 2007 Mar 282007 Mar 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4418 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques
CountryFrance
CityRocquencourt
Period07/3/2807/3/30

Fingerprint

Eigenspace
Lighting
Illumination
Face
Linear transformations
Light sources
Linear transformation
Class
Compensation and Redress
Light
Projection
Experimental Results
Demonstrate

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yang, J., & Byun, H. (2007). Illumination compensation algorithm using eigenspaces transformation for facial images. In Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings (pp. 192-199). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4418 LNCS).
Yang, Junyeong ; Byun, Hyeran. / Illumination compensation algorithm using eigenspaces transformation for facial images. Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. 2007. pp. 192-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Yang, J & Byun, H 2007, Illumination compensation algorithm using eigenspaces transformation for facial images. in Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4418 LNCS, pp. 192-199, 3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques, Rocquencourt, France, 07/3/28.

Illumination compensation algorithm using eigenspaces transformation for facial images. / Yang, Junyeong; Byun, Hyeran.

Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. 2007. p. 192-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4418 LNCS).

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

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Yang J, Byun H. Illumination compensation algorithm using eigenspaces transformation for facial images. In Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. 2007. p. 192-199. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).