MMP-PCA face recognition method

被引：18

作者：

Su, GD ^{[1
]}

Zhang, CP ^{[1
]}

Ding, RR ^{[1
]}

Du, C ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

ELECTRONICS LETTERS | 2002年 / 38卷 / 25期

关键词：

D O I：

10.1049/el:20021033

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A multimodal part face recognition method based on principal component analysis (MMP-PCA) is presented. Five kinds of parts are dealt with by PCA to obtain eigenface, eigeneyebrow, eigeneye, eigennose and eigenmouth. Thirty-one kinds of different face recognition models are created by using combinations of different parts. The recognition rates of 17 models among them are given.

引用

页码：1654 / 1656

页数：3

共 6 条

[1]

CHAO Y, 1998, J IMAGE GRAPHICS, V3, P375

[2]

Kohir V. V., 1999, Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. `Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030), P104, DOI 10.1109/TENCON.1999.818360

[3] DISTORTION INVARIANT OBJECT RECOGNITION IN THE DYNAMIC LINK ARCHITECTURE [J].

LADES, M ;

VORBRUGGEN, JC ;

BUHMANN, J ;

LANGE, J ;

VANDERMALSBURG, C ;

WURTZ, RP ;

KONEN, W .

IEEE TRANSACTIONS ON COMPUTERS, 1993, 42 (03) :300-311

[4]

PHIASAI T, 2001, P IEEE INT S CIRC SY, V2, P165

[5]

TURK M, 1991, P IEEE C COMP VIS PA, P586, DOI DOI 10.1109/CVPR.1991.139758

[6] CONNECTIONIST MODELS OF FACE PROCESSING - A SURVEY [J].

VALENTIN, D ;

ABDI, H ;

OTOOLE, AJ ;

COTTRELL, GW .

PATTERN RECOGNITION, 1994, 27 (09) :1209-1230

← 1 →