Face recognition across illumination

Saleh Aly, Alaa Sagheer, Naoyuki Tsuruta, Rin-Ichiro Taniguchi

研究成果: 著書/レポートタイプへの貢献会議での発言

1 引用 (Scopus)

抜粋

Illumination variation in face images is one of the most difficult problems in face recognition system. The performance of self-organizing map-based face recognition system is highly degraded when the illumination of test images differ from training images. Illumination normalization is a way to solve this problem. Both global and local image enhancement methods are studied in this paper. Local histogram equalization method is highly improving the recognition accuracy of the CMU-PIE face database.

元の言語英語
ホスト出版物のタイトルProceedings of the 12th International Symposium on Artificial Life and Robotics, AROB 12th'07
ページ802-805
ページ数4
出版物ステータス出版済み - 12 1 2007
イベント12th International Symposium on Artificial Life and Robotics, AROB 12th'07 - Oita, 日本
継続期間: 1 25 20071 27 2007

その他

その他12th International Symposium on Artificial Life and Robotics, AROB 12th'07
日本
Oita
期間1/25/071/27/07

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

これを引用

Aly, S., Sagheer, A., Tsuruta, N., & Taniguchi, R-I. (2007). Face recognition across illumination. : Proceedings of the 12th International Symposium on Artificial Life and Robotics, AROB 12th'07 (pp. 802-805)