Comparative Study on Color Components for PCA-Based Face Recognition

DOI Web Site 参考文献24件

この論文をさがす

説明

Using color information can significantly improve the face recognition rate instead of using the grayscale luminance image. However, there are few works that try to compare the color space models on face recognition. In this paper, we investigate thirty different color space models on face recognition using the classical principal component analysis (PCA). Through the extensive experiments we find that after successfully diminishing the influence of the illumination the recognition accuracy can be improved by 4.6∼5.5 percent points.

収録刊行物

  • 画像電子学会誌

    画像電子学会誌 40 (4), 671-678, 2011

    一般社団法人 画像電子学会

参考文献 (24)*注記

もっと見る

関連プロジェクト

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ