메뉴 건너뛰기




Volumn , Issue , 2010, Pages

"How old are you?": Age estimation with tensors of binary Gaussian receptive maps

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FACE RECOGNITION; GAUSSIAN DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS;

EID: 80053214534     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.24.6     Document Type: Conference Paper
Times cited : (11)

References (31)
  • 1
    • 45949083061 scopus 로고    scopus 로고
    • accessed: April 2010
    • The fg-net aging database. http://www.fgnet.rsunit.com/.accessed: April 2010.
    • The Fg-net Aging Database
  • 2
    • 33947167478 scopus 로고    scopus 로고
    • Face description with local binary patterns: Application to face recognition
    • T. Ahonen, A. Hadid, and M. Pietikainen. Face description with local binary patterns: Application to face recognition. IEEE PAMI, 28(12):2037-2041, 2006.
    • (2006) IEEE PAMI , vol.28 , Issue.12 , pp. 2037-2041
    • Ahonen, T.1    Hadid, A.2    Pietikainen, M.3
  • 3
    • 33750378734 scopus 로고    scopus 로고
    • Orthogonal laplacianfaces for face recognition
    • D. Cai, X. He, J. Han, and H-J. Zhang. Orthogonal laplacianfaces for face recognition. IEEE TIP, 15(11):3608-3614, 2006.
    • (2006) IEEE TIP , vol.15 , Issue.11 , pp. 3608-3614
    • Cai, D.1    He, X.2    Han, J.3    Zhang, H.-J.4
  • 4
    • 84957810778 scopus 로고    scopus 로고
    • Active appearance models
    • Timothy F. Cootes, Gareth J. Edwards, and Christopher J. Taylor. Active appearance models. ECCV, pages 484-498, 1998.
    • (1998) ECCV , pp. 484-498
    • Cootes, T.F.1    Edwards, G.J.2    Taylor, C.J.3
  • 6
    • 0026221555 scopus 로고
    • The design and use of steerable filters
    • Y.
    • W. T. Freeman and E. H. Adelson Y. The design and use of steerable filters. IEEE PAMI, 13:891-906, 1991.
    • (1991) IEEE PAMI , vol.13 , pp. 891-906
    • Freeman, W.T.1    Adelson, E.H.2
  • 7
    • 36248946626 scopus 로고    scopus 로고
    • Automatic age estimation based on facial aging patterns
    • X. Geng, Zhi-Hua Zhou, and K. Smith-Miles. Automatic age estimation based on facial aging patterns. IEEE TPAMI., 29(12):2234-2240, 2007.
    • (2007) IEEE TPAMI , vol.29 , Issue.12 , pp. 2234-2240
    • Geng, X.1    Zhou, Z.-H.2    Smith-Miles, K.3
  • 8
    • 45949109037 scopus 로고    scopus 로고
    • Image-based human age estimation by manifold learning and locally adjusted robust regression
    • G. Guo, Y. Fu, C. R. Dyer, and T. S. Huang. Image-based human age estimation by manifold learning and locally adjusted robust regression. IEEE TIP, 17(7):1178-1188, 2008.
    • (2008) IEEE TIP , vol.17 , Issue.7 , pp. 1178-1188
    • Guo, G.1    Fu, Y.2    Dyer, C.R.3    Huang, T.S.4
  • 9
    • 51849108056 scopus 로고    scopus 로고
    • A probabilistic fusion approach to human age prediction
    • G. Guo, Y. Fu, Charles R. Dyer, and Thomas S. Huang. A probabilistic fusion approach to human age prediction. IEEE CVPR Workshop, 2008.
    • (2008) IEEE CVPR Workshop
    • Guo, G.1    Fu, Y.2    Dyer, C.R.3    Huang, T.S.4
  • 10
    • 70450194783 scopus 로고    scopus 로고
    • Human age estimation using bio-inspired features
    • G. Guo, G. Mu, Y. Fu, and Thomas S. Huang. Human age estimation using bio-inspired features. IEEE CVPR, pages 112-119, 2009.
    • (2009) IEEE CVPR , pp. 112-119
    • Guo, G.1    Mu, G.2    Fu, Y.3    Huang, T.S.4
  • 11
    • 84898460091 scopus 로고    scopus 로고
    • Morph: A longitudinal image database of normal adult age-progression
    • Karl Ricanek Jr. and Tamirat Tesafaye. Morph: A longitudinal image database of normal adult age-progression. IEEE FG, 2006.
    • (2006) IEEE FG
    • Ricanek Jr., K.1    Tesafaye, T.2
  • 12
    • 0023141705 scopus 로고
    • Representation of local geometry in the visual system
    • ISSN 0340-1200
    • J.J Koenderink and A.J van Doom. Representation of local geometry in the visual system. Biol. Cybern., 55(6):367-375, 1987. ISSN 0340-1200.
    • (1987) Biol. Cybern. , vol.55 , Issue.6 , pp. 367-375
    • Koenderink, J.J.1    Van Doom, A.J.2
  • 14
    • 0036537914 scopus 로고    scopus 로고
    • Toward automatic simulation of aging effects on face images
    • A. Lanitis, C. J. Taylor, and T. F. Cootes. Toward automatic simulation of aging effects on face images. IEEE TPAMI., 24(4):442-455, 2002.
    • (2002) IEEE TPAMI , vol.24 , Issue.4 , pp. 442-455
    • Lanitis, A.1    Taylor, C.J.2    Cootes, T.F.3
  • 15
    • 0742290014 scopus 로고    scopus 로고
    • Comparing different classifiers for automatic age estimation
    • A. Lanitis, C. Draganova, and C. Christodoulou. Comparing different classifiers for automatic age estimation. IEEE TSMCB, 34(1):621-628, 2004.
    • (2004) IEEE TSMCB , vol.34 , Issue.1 , pp. 621-628
    • Lanitis, A.1    Draganova, C.2    Christodoulou, C.3
  • 16
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • David G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60: 91-110, 2004.
    • (2004) IJCV , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 17
    • 38749143022 scopus 로고    scopus 로고
    • Mpca: Multilinear principal component analysis of tensor objects
    • Haiping Lu, Konstantinos N. Plataniotis, and Anastasios N. Venetsanopoulos. Mpca: Multilinear principal component analysis of tensor objects. IEEE TNN, 19(1):18-39, 2008.
    • (2008) IEEE TNN , vol.19 , Issue.1 , pp. 18-39
    • Lu, H.1    Plataniotis, K.N.2    Venetsanopoulos, A.N.3
  • 18
    • 33750330950 scopus 로고    scopus 로고
    • Face verification across age progression
    • N. Ramanathan and R. Chellappa. Face verification across age progression. IEEE TIP, 15(11):3349-3361, 2006.
    • (2006) IEEE TIP , vol.15 , Issue.11 , pp. 3349-3361
    • Ramanathan, N.1    Chellappa, R.2
  • 19
    • 67349193788 scopus 로고    scopus 로고
    • Computational methods for modeling facial aging: A survey
    • N. Ramanathan, R. Chellappa, and S. Biswas. Computational methods for modeling facial aging: A survey. J. Vis. Lang. Comput., 20(3):131-144, 2009.
    • (2009) J. Vis. Lang. Comput. , vol.20 , Issue.3 , pp. 131-144
    • Ramanathan, N.1    Chellappa, R.2    Biswas, S.3
  • 20
    • 84898849552 scopus 로고    scopus 로고
    • Face recognition using tensors of census transform histograms from Gaussian features maps
    • September
    • John A. Ruiz-Hernandez, James L. Crowley, Antoine Meler, and Augustin Lux. Face recognition using tensors of census transform histograms from gaussian features maps. BMVC., September 2009.
    • (2009) BMVC
    • Ruiz-Hernandez, J.A.1    Crowley, J.L.2    Meler, A.3    Lux, A.4
  • 21
    • 0033872313 scopus 로고    scopus 로고
    • Recognition without correspondence using multidimensional receptive field histograms
    • B. Schiele and J.L. Crowley. Recognition without correspondence using multidimensional receptive field histograms. IJCV, 36:31-50, 2000.
    • (2000) IJCV , vol.36 , pp. 31-50
    • Schiele, B.1    Crowley, J.L.2
  • 22
    • 85028101437 scopus 로고    scopus 로고
    • A compositional and dynamic model for face aging
    • Jinli Suo, Song-Chun Zhu, Shiguang Shan, and Xilin Chen. A compositional and dynamic model for face aging. IEEE TPAMI., 32(3):385-401, 2010.
    • (2010) IEEE TPAMI , vol.32 , Issue.3 , pp. 385-401
    • Suo, J.1    Zhu, S.-C.2    Shan, S.3    Chen, X.4
  • 23
    • 38149044888 scopus 로고    scopus 로고
    • Fusing gabor and lbp feature sets for kernel-based face recognition
    • oct
    • X. Tan and B. Triggs. Fusing gabor and lbp feature sets for kernel-based face recognition. In Analysis and Modelling of Faces and Gestures, pages 235-249, oct 2007.
    • (2007) Analysis and Modelling of Faces and Gestures , pp. 235-249
    • Tan, X.1    Triggs, B.2
  • 24
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Michael E. Tipping. Sparse bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1:211-244, 2001.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 25
    • 77955451332 scopus 로고    scopus 로고
    • Daisy: An efficient dense descriptor applied to wide baseline stereo
    • Engin Tola, Vincent Lepetit, and Pascal Fua. Daisy: An efficient dense descriptor applied to wide baseline stereo. IEEE PAMI, 99(1), 2009.
    • (2009) IEEE PAMI , vol.99 , Issue.1
    • Tola, E.1    Lepetit, V.2    Fua, P.3
  • 26
    • 84898409665 scopus 로고    scopus 로고
    • Winder and matthew brown. Learning local image descriptors
    • June
    • Simon A. J. Winder and Matthew Brown. Learning local image descriptors. In IEEE CVPR, June 2007.
    • (2007) IEEE CVPR
    • Simon, A.J.1
  • 27
    • 77956524439 scopus 로고    scopus 로고
    • Implicit elastic matching with random projections for posevariant face recognition
    • June
    • J. Wright and Gang Hua. Implicit elastic matching with random projections for posevariant face recognition. In IEEE CVPR, June 2009.
    • (2009) IEEE CVPR
    • Wright, J.1    Hua, G.2
  • 28
    • 84898488013 scopus 로고    scopus 로고
    • Learning auto-structured regressor from uncertain nonnegative labels
    • Shuicheng Yan, Huan Wang, Xiaoou Tang, and Thomas S. Huang. Learning auto-structured regressor from uncertain nonnegative labels. IEEE ICCV, 2007.
    • (2007) IEEE ICCV
    • Yan, S.1    Wang, H.2    Tang, X.3    Huang, T.S.4
  • 29
    • 56749183374 scopus 로고    scopus 로고
    • Regression from uncertain labels and its applications to soft biometrics
    • Shuicheng Yan, Huan Wang, Xiaoou Tang, Jianzhuang Liu, and Thomas S. Huang. Regression from uncertain labels and its applications to soft biometrics. IEEE TIFS, 3 (4):698-708, 2008.
    • (2008) IEEE TIFS , vol.3 , Issue.4 , pp. 698-708
    • Yan, S.1    Wang, H.2    Tang, X.3    Liu, J.4    Huang, T.S.5
  • 30
    • 77956553101 scopus 로고    scopus 로고
    • Oriented filters for object recognition: An empirical study
    • J.J. Yokono and T. Poggio. Oriented filters for object recognition: an empirical study. In IEEE FG, 2004.
    • (2004) IEEE FG
    • Yokono, J.J.1    Poggio, T.2
  • 31
    • 0035544177 scopus 로고    scopus 로고
    • The Gaussian derivative model for spatial-temporal vision: I. Cortical model
    • Richard A. Young, Ronald M. Lesperance, and W. Weston Meyer. The gaussian derivative model for spatial-temporal vision: I. cortical model. Spatial Vision, 2001:3-4, 2001.
    • (2001) Spatial Vision , vol.2001 , pp. 3-4
    • Young, R.A.1    Lesperance, R.M.2    Weston Meyer, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.