22.2.8.5.1 Fourier Features for Facial Recognition

Chapter Contents (Back)
Face Recognition. Application, Face Recognition. Fourier Features.

Ben-Arie, J.[Jezekiel], Nandy, D.[Dibyendu],
A Volumetric/Iconic Frequency-Domain Representation for Objects with Application for Pose Invariant Face Recognition,
PAMI(20), No. 5, May 1998, pp. 449-457.
IEEE DOI 9806
BibRef
Earlier:
Representation of Objects in a Volumetric Frequency Domain with Application to Face Recognition,
CVPR97(615-620).
IEEE DOI 9704
BibRef
And:
Using the Fourier Slice Theorem for Representation of Object Views and Models with Application to Face Recognition,
ICIP97(III: 332-335).
IEEE DOI Volumetric Frequency Representation Both spatial structure and a continuum of views in one data structure. A planar slice of the data gets a Fourier transformed view. Matching in 4-D Fourier space.
See also Shape from Recognition: A Novel Approach for 3-D Face Shape Recovery.
See also Pictorial Recognition of Objects Employing Affine Invariance in the Frequency-Domain. BibRef

Lai, J.H.[Jian Huang], Yuen, P.C.[Pong C.], Feng, G.C.[Guo Can],
Face Recognition Using Holistic Fourier Invariant Features,
PR(34), No. 1, January 2001, pp. 95-109.
Elsevier DOI 0010
BibRef

El-Ghazal, A.[Akrem], Basir, O.[Otman], Belkasim, S.[Saeid],
Farthest point distance: A new shape signature for Fourier descriptors,
SP:IC(24), No. 7, August 2009, pp. 572-586.
Elsevier DOI 0909
BibRef
Earlier:
A New Shape Signature for Fourier Descriptors,
ICIP07(I: 161-164).
IEEE DOI 0709
Fourier descriptors; Image retrieval; Shape signatures BibRef

El-Ghazal, A.[Akrem], Basir, O.[Otman], Belkasim, S.[Saeid],
Invariant curvature-based Fourier shape descriptors,
JVCIR(23), No. 4, May 2012, pp. 622-633.
Elsevier DOI 1205
BibRef
Earlier:
A novel curvature-based shape Fourier Descriptor,
ICIP08(953-956).
IEEE DOI 0810
Fourier descriptors; Feature extraction; Curvature-scale space; Content-based image retrieval; Shape matching; Invariant descriptors; Shape retrieval; Shape signature BibRef

Sao, A.K.[Anil Kumar], Yegnanarayana, B., Vijaya Kumar, B.V.K.,
Significance of image representation for face verification,
SIViP(1), No. 3, August 2007, pp. 225-237.
Springer DOI 0803
BibRef

Sao, A.K.[Anil Kumar], Yegnanarayana, B.,
On the use of phase of the Fourier transform for face recognition under variations in illumination,
SIViP(4), No. 3, September 2010, pp. 353-358.
WWW Link. 1011
BibRef

Sao, A.K.[Anil Kumar],
Combining analytic phase and Fourier phase for face recognition,
ICIIP11(1-4).
IEEE DOI 1112
BibRef

Zhang, X.X.[Xiao-Xun], Jia, Y.D.[Yun-De],
Face recognition with local steerable phase feature,
PRL(27), No. 16, December 2006, pp. 1927-1933.
Elsevier DOI 0611
BibRef
Earlier:
Local Steerable Phase (LSP) Feature for Face Representation and Recognition,
CVPR06(II: 1363-1368).
IEEE DOI 0606
Steerable filters; Phase feature; Face recognition BibRef

Jing, X.Y.[Xiao-Yuan], Wong, H.S.[Hau-San], Zhang, D.[David],
Face Recognition Based on Discriminant Fractional Fourier Feature Extraction,
PRL(27), No. 13, 1 October 2006, pp. 1465-1471.
Elsevier DOI 0606
Fractional Fourier transform; Linear discrimination analysis; Feature extraction; Angle parameter; Reformative Fisherface method
See also Face and Palmprint Recognition Approach Based on Discriminant DCT Feature Extraction, A.
See also Face Recognition Based on Discriminant Fractional Fourier Feature Extraction. BibRef

Li, S.[Sheng], Yao, Y.F.[Yong-Fang], Jing, X.Y.[Xiao-Yuan], Chang, H.[Heng], Gao, S.Q.[Shi-Qiang], Zhang, D.[David], Yang, J.Y.[Jing-Yu],
Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV,
IEICE(E92-D), No. 12, December 2009, pp. 2527-2530.
WWW Link. 0912

See also Face and Palmprint Recognition Approach Based on Discriminant DCT Feature Extraction, A. BibRef

Man, J.Y.[Jiang-Yue], Jing, X.Y.[Xiao-Yuan], Zhang, D.[David], Lan, C.[Chao],
Sparse cost-sensitive classifier with application to face recognition,
ICIP11(1773-1776).
IEEE DOI 1201
BibRef

Man, J.Y.[Jiang-Yue], Li, S.[Sheng], Zhang, D.[David],
Holistic orthogonal analysis of discriminant transforms for color face recognition,
ICIP10(3841-3844).
IEEE DOI 1009
BibRef

Jing, X.Y.[Xiao-Yuan], Li, S.[Sheng], Yao, Y.F.[Yong-Fang], Bian, L.S.[Lu-Sha], Yang, J.Y.[Jing-Yu],
Kernel Uncorrelated Adjacent-class Discriminant Analysis,
ICPR10(706-709).
IEEE DOI 1008

See also Optimal subset-division based discrimination and its kernelization for face and palmprint recognition. BibRef

Chen, Y.M.[Yee Ming], Chiang, J.H.[Jen-Hong],
Face recognition using combined multiple feature extraction based on Fourier-Mellin approach for single example image per person,
PRL(31), No. 13, 1 October 2010, pp. 1833-1841.
Elsevier DOI 1003
Face recognition; Single example image per person; Analytical Fourier-Mellin transform (AFMT); Orthogonal Fourier-Mellin moments (OFMM); Wavelet transform BibRef

Hwang, W.J.[Won-Jun], Wang, H., Kim, H., Kee, S.C.[Seok-Cheol], Kim, J.,
Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,
IP(20), No. 4, April 2011, pp. 1152-1165.
IEEE DOI 1103
BibRef

Hwang, W.J.[Won-Jun], Park, G.[Gyutae], Lee, J.H.[Jong-Ha], Kee, S.C.[Seok-Cheol],
Multiple Face Model of Hybrid Fourier Feature for Large Face Image Set,
CVPR06(II: 1574-1581).
IEEE DOI 0606
BibRef

Choi, S.I.[Sang-Il], Jeong, G.M.[Gu-Min],
Shadow Compensation Using Fourier Analysis With Application to Face Recognition,
SPLetters(18), No. 1, January 2011, pp. 23-26.
IEEE DOI 1101
BibRef

Chen, G., Sun, W., Xie, W.,
Hyperspectral face recognition with log-polar Fourier features and collaborative representation based voting classifiers,
IET-Bio(6), No. 1, 2017, pp. 36-42.
DOI Link 1701
data acquisition BibRef


Ishac, D., Yammine, G., Abche, A.,
Face recognition using a fourier polar based approach,
WSSIP15(200-203)
IEEE DOI 1603
discrete Fourier transforms BibRef

Liu, Q.A.[Qi-Ang], Ngan, K.N.[King Ngi],
Overlapping Local Phase Feature (OLPF) for Robust Face Recognition in Surveillance,
ACIVS12(246-257).
Springer DOI 1209
BibRef

He, J.Z.[Jia-Zhong], Zhang, D.[Di],
Face Recognition Based on Projection Map and Fourier Transform for One Training Image Per Person,
CISP09(1-4).
IEEE DOI 0910
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Finding Facial Features, Eye Detection .


Last update:Mar 16, 2024 at 20:36:19