A Novel Scheme for Face Recognition and Authentication Against Pose, Illumination and Expression Changes

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題名:	A Novel Scheme for Face Recognition and Authentication Against Pose, Illumination and Expression Changes
作者:	Chen,YN;Han,CC;Wang,CT;Fan,KC
貢獻者:	資訊工程學系
關鍵詞:	DIMENSIONALITY REDUCTION;DISCRIMINANT-ANALYSIS;PCA;LAPLACIANFACES;FRAMEWORK
日期:	2011
上傳時間:	2012-03-27 18:57:10 (UTC+8)
出版者:	國立中央大學
摘要:	In this paper, a novel scheme for face recognition or authentication is proposed against pose, illumination, and expression (PIE) variation using modular face features. A sub-image in low-frequency sub-band is extracted by a wavelet transform (WT) to reduce the image dimensionality. It is partitioned into four parts for representing the local features and reducing the PIE effects, and the small image in a coarse scale is generated via the WT without losing the global face features. Five modular feature spaces were constructed. The most discriminative common vectors in each feature space were found, and a nearest feature space-based (NFS-based) distance was calculated for classification. Finally, a weighted summation is performed to fuse the five distances. Experiments were conducted to show that the proposed scheme is superior to other methods in terms of recognition and authentication rates.
關聯:	JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
顯示於類別:	[資訊工程學系] 期刊論文

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