Face relighting under arbitrary unknown illumination conditions based on estimated light source direction

Heechul Han, Kwanghoon Sohn

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

Abstract

In this paper, we present a novel method to estimate the light source direction and relight a face texture image of a single 3D model obtained under arbitrary unknown illumination conditions. We create a virtual irradiance sphere to detect the light source direction from a given illuminated texture image using both normal vector mapping and weighted bilinear interpolation. We then create a relighting equation with estimated ambient intensity and diffuse intensity obtained by the least square method. We provide a series of experiments on both light source estimation and relighting to show that our method is effective in restoring the shading and shadows areas of a face texture image. Our approach for face relighting should be used for illuminant invariant face recognition applications.

Original languageEnglish
Title of host publicationProceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
Pages195-200
Number of pages6
Publication statusPublished - 2007 Dec 1
Event7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007 - Palma de Mallorca, Spain
Duration: 2007 Aug 292007 Aug 31

Publication series

NameProceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007

Other

Other7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
CountrySpain
CityPalma de Mallorca
Period07/8/2907/8/31

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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  • Cite this

    Han, H., & Sohn, K. (2007). Face relighting under arbitrary unknown illumination conditions based on estimated light source direction. In Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007 (pp. 195-200). (Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007).