ML Anthology

Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition

Chia-Ping Chen, Chu-Song Chen
ICCV 2005 pp. 1089-1096
doi:10.1109/ICCV.2005.144 /iccv/2005/chen2005iccv-lighting/

Abstract

In this paper, we introduce the concept of intrinsic illumination subspace which is based on the intrinsic images. This intrinsic illumination subspace enables an analytic generation of the illumination images under varying lighting conditions. When objects of the same class are concerned, our method allows a class-based generic intrinsic illumination subspace to be constructed in advance. We propose a lighting normalization method based on the generic intrinsic illumination subspace, which is used as a bootstrap subspace for novel images. Face recognition experiments are performed to demonstrate the effectiveness of our method.

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Text

Chen and Chen. "Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.144

Markdown

[Chen and Chen. "Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/chen2005iccv-lighting/) doi:10.1109/ICCV.2005.144

BibTeX

@inproceedings{chen2005iccv-lighting,
  title     = {{Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition}},
  author    = {Chen, Chia-Ping and Chen, Chu-Song},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2005},
  pages     = {1089-1096},
  doi       = {10.1109/ICCV.2005.144},
  url       = {https://mlanthology.org/iccv/2005/chen2005iccv-lighting/}
}