[1] Yu Weiwei, Teng Xiaolong, Liu Chongqing,. Feature fusing in face recognition [J]. Journal of Southeast University (English Edition), 2005, 21 (4): 427-431. [doi:10.3969/j.issn.1003-7985.2005.04.010]

Copy

Feature fusing in face recognition()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

21

Issue:

2005 4

Page:

427-431

Research Field:

Computer Science and Engineering

Publishing date:

2005-12-30

Info

Title:

Feature fusing in face recognition

Author(s):

Yu Weiwei;  Teng Xiaolong;  Liu Chongqing

School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200030, China

Keywords:

face recognition;  feature fusion;  global features;  local features

PACS:

TP391

DOI:

10.3969/j.issn.1003-7985.2005.04.010

Abstract:

With the aim of extracting the features of face images in face recognition, a new method of face recognition by fusing global features and local features is presented.The global features are extracted using principal component analysis(PCA).Active appearance model(AAM)locates 58 facial fiducial points, from which 17 points are characterized as local features using the Gabor wavelet transform(GWT).Normalized global match degree(local match degree)can be obtained by global features(local features)of the probe image and each gallery image.After the fusion of normalized global match degree and normalized local match degree, the recognition result is the class that included the gallery image corresponding to the largest fused match degree.The method is evaluated by the recognition rates over two face image databases(AR and SJTU-IPPR). The experimental results show that the method outperforms PCA and elastic bunch graph matching(EBGM).Moreover, it is effective and robust to expression, illumination and pose variation in some degree.

References:

[1] Givens G, Beveridge J R, Draper B A, et al.How features of the human face affect recognition:a statistical comparison of three face recognition algorithms [A]. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition [C]. Washington, DC, 2004, 2:381-388.
[2] Zhang Pengfei, Li Desheng, Wang Qi.A novel iris recognition method based on feature fusion [A].In:Proceedings of 2004 International Conference on Machine Learning and Cybernetics [C].Shanghai, 2004, 6:3661-3665.
[3] Turk M, Pentland A.Eigenfaces for recognition [J].Journal of Cognitive Neuroscience, 1991, 3(1):71-86.
[4] Belhumeur P N, Hespanda J, Kriegeman D.Eigenfaces vs.Fisherfaces:recognition using class specific linear projection [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7):711-720.
[5] Moghaddam B.Principle manifolds and probabilistic subspace for visual recognition [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(6):780-788.
[6] Wiskott L, Fellous J M, Kruger N, et al.Face recognition by elastic bunch graph matching [A].In:International Conference on Image Processing [C].Washington, DC, 1997, 1:129-132.
[7] Arca Stefano, Campadelli Paola, Lanzarotti Raffaella.A face recognition system based on local feature analysis [A].In:4th International Conference on Audio-and Video-Based Biometrie Person Authentication [C].Guildford, UK, 2003.182-189.
[8] Cootes T F, Edwards G J, Taylor C J.Active appearance models [A].In:European Conference on Computer Vision [C].Berlin, 1998, 2:484-498.
[9] Lee Tai Sing.Image representation using 2D Gabor wavelets [J].IEEE Transaction on Pattern Analysis and Machine Intelligence, 1996, 18(10):959-971.
[10] Liu Chengjun.Gabor-based kernel PCA with fractional power polynomial models for face recognition [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(5):572-581.
[11] Snelick R, Uludag U, Mink A, et al.Large scale evaluation of multimodal biometric authentication using state-of-the-art systems [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(3):450-455.
[12] Hua Xiansheng, Zhang Hongjiang.An attention-based decision fusion scheme for multimedia information retrieval [A].In: The Fifth Pacific-Rim Conference on Multimedia [C].Tokyo, Japan, 2004.1001-1010.
[13] Martinez A M, Benavente R.The AR face database [EB/OL].http://rvl1.ecn.purdue.edu/~aleix/aleix_-face_-DB.html, 2003/2005-04-01.
[14] Lienhart Rainer, Kuranov Alexander, Pisarevsky Vadim.Empirical analysis of detection cascades of boosted classifiers for rapid object detection [A].In: Proc 25th German Pattern Recognition Symposium [C].Magdeburg, 2003.297-304.
[15] Loy Gareth, Zelinsky Alexander.A fast radial symmetry transform for detecting points of interest [A].In:European Conference on Computer Vision [C].Copenhagen, 2002.358-368.

Memo

Memo:

Biographies: Yu Weiwei(1978—), female, graduate;Liu Chongqing(corresponding author), male, professor, liuchqing@263.net.

Common functions