메뉴 건너뛰기




Volumn 33, Issue 9, 2012, Pages 1083-1092

Pixel selection based on discriminant features with application to face recognition

Author keywords

Expression variation; Face recognition; Illumination variation; Linear discriminant analysis; Pixel selection

Indexed keywords

COMPUTATIONAL LOADS; EXPRESSION VARIATION; FACE DATABASE; FACE IMAGES; FACIAL EXPRESSIONS; ILLUMINATION VARIATION; LINEAR DISCRIMINANT ANALYSIS; MEMORY SIZE; PIXEL SELECTION; RECOGNITION PERFORMANCE; RECOGNITION PROCESS;

EID: 84859352599     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2012.01.005     Document Type: Article
Times cited : (15)

References (35)
  • 4
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition system which can solve the small sample size problem
    • L.F. Chen, H.Y.M. Liao, M.T. Ko, J.C. Lin, and G.J. Yu A new LDA-based face recognition system which can solve the small sample size problem Pattern Recognit. 33 2000 1713 1726
    • (2000) Pattern Recognit. , vol.33 , pp. 1713-1726
    • Chen, L.F.1    Liao, H.Y.M.2    Ko, M.T.3    Lin, J.C.4    Yu, G.J.5
  • 6
    • 78650280833 scopus 로고    scopus 로고
    • Face recognition based on 2D images under illumination and pose variations
    • S.I. Choi, C. Kim, and C.H. Choi Face recognition based on 2D images under illumination and pose variations Pattern Recognition Lett. 32 2011 561 571
    • (2011) Pattern Recognition Lett. , vol.32 , pp. 561-571
    • Choi, S.I.1    Kim, C.2    Choi, C.H.3
  • 9
    • 33846280788 scopus 로고    scopus 로고
    • Learning the best subset of local features for face recognition
    • DOI 10.1016/j.patcog.2006.09.009, PII S0031320306003803
    • B. Gokberk, M.O. Irfanoglu, L. Akarun, and E. Alpaydin Learning the best subset of local features for face recognition Pattern Recognit. 40 5 2007 1520 1532 (Pubitemid 46123381)
    • (2007) Pattern Recognition , vol.40 , Issue.5 , pp. 1520-1532
    • Gokberk, B.1    Irfanoglu, M.O.2    Akarun, L.3    Alpaydin, E.4
  • 11
    • 0442296749 scopus 로고    scopus 로고
    • An improved face recognition technique based on modular PCA approach
    • DOI 10.1016/j.patrec.2003.11.005
    • R. Gottumukkal, and V.K. Asari An improved face recognition technique based on modular PCA approach Pattern Recognition Lett. 25 4 2004 429 436 (Pubitemid 38187991)
    • (2004) Pattern Recognition Letters , vol.25 , Issue.4 , pp. 429-436
    • Gottumukkal, R.1    Asari, V.K.2
  • 12
    • 48049093694 scopus 로고    scopus 로고
    • Subspace based feature selection for pattern recognition
    • S. Gunal, and R. Edizkan Subspace based feature selection for pattern recognition Inform. Sci. 178 19 2008 3716 3726
    • (2008) Inform. Sci. , vol.178 , Issue.19 , pp. 3716-3726
    • Gunal, S.1    Edizkan, R.2
  • 16
    • 33846365956 scopus 로고    scopus 로고
    • Image covariance-based subspace method for face recognition
    • DOI 10.1016/j.patcog.2006.09.010, PII S0031320306003852
    • C. Kim, and C.H. Choi Image covariance-based subspace method for face recognition Pattern Recognit. 40 5 2007 1592 1604 (Pubitemid 46127788)
    • (2007) Pattern Recognition , vol.40 , Issue.5 , pp. 1592-1604
    • Kim, C.1    Choi, C.-H.2
  • 17
    • 33749849734 scopus 로고    scopus 로고
    • Combined subspace method sing lobal and ocal features for face recognition
    • DOI 10.1109/IJCNN.2005.1556212, 1556212, Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005
    • Kim, C., Oh, J., Choi, C.H., 2005. Combined subspace method using global and local features for face recognition, In: Proc. Internat. Joint Conf. on Neural Networks. pp. 2030-2035. (Pubitemid 44591510)
    • (2005) Proceedings of the International Joint Conference on Neural Networks , vol.4 , pp. 2030-2035
    • Kim, C.1    Oh, J.O.2    Choi, C.-H.3
  • 19
    • 38349127958 scopus 로고    scopus 로고
    • Invariant optimal feature selection: A distance discriminant and feature ranking based solution
    • J. Liang, S. Yang, and A. Winstanley Invariant optimal feature selection: A distance discriminant and feature ranking based solution Pattern Recognit. 41 5 2008 1429 1439
    • (2008) Pattern Recognit. , vol.41 , Issue.5 , pp. 1429-1439
    • Liang, J.1    Yang, S.2    Winstanley, A.3
  • 20
    • 0036543747 scopus 로고    scopus 로고
    • Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition
    • DOI 10.1109/TIP.2002.999679, PII S1057714902035480
    • C. Liu, and H. Wechsler Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition IEEE Trans. Image Process. 11 4 2002 467 476 (Pubitemid 34692396)
    • (2002) IEEE Transactions on Image Processing , vol.11 , Issue.4 , pp. 467-476
    • Liu, C.1    Wechsler, H.2
  • 21
    • 0004171986 scopus 로고    scopus 로고
    • The AR face database
    • Computer Vision Center (CVC), Barcelona, Spain
    • Martnez, A.M., Benevente, R., 1998. The AR face database, CVC technical report #24, Computer Vision Center (CVC), Barcelona, Spain.
    • (1998) CVC Technical Report #24
    • Martnez, A.M.1    Benevente, R.2
  • 22
    • 80052873236 scopus 로고    scopus 로고
    • Which parts of the face give out your identify?
    • Ocegueda O., Shah S.K., Karadiaris I.A.
    • Ocegueda, O., Shah, S.K., Karadiaris, I.A., 2011. Which parts of the face give out your identify? In: Proc. Internat. Conf. on Computer Vision and Pattern Recognition.
    • (2011) Proc. Internat. Conf. on Computer Vision and Pattern Recognition
  • 26
    • 33751403375 scopus 로고    scopus 로고
    • Face recognition using multiple facial features
    • DOI 10.1016/j.patrec.2006.04.003, PII S0167865506000845
    • A.N. Rajagopalan, K.S. Rao, and Y.A. Kumar Face recognition using multiple facial features Pattern Recognition Lett. 28 3 2007 335 341 (Pubitemid 44821436)
    • (2007) Pattern Recognition Letters , vol.28 , Issue.3 , pp. 335-341
    • Rajagopalan, A.N.1    Rao, K.S.2    Kumar, Y.A.3
  • 28
    • 33947369065 scopus 로고    scopus 로고
    • Face recognition by humans: Nineteen results all computer vision researchers should know about
    • Sinha, P., Balas, B., Ostrovsky, Y., Russell, R., 2006. Face recognition by humans: Nineteen results all computer vision researchers should know about. In: Proceedings of the IEEE, vol. 94, no. 11, pp. 1948-1962.
    • (2006) Proceedings of the IEEE , vol.94 , Issue.11 , pp. 1948-1962
    • Sinha, P.1    Balas, B.2    Ostrovsky, Y.3    Russell, R.4
  • 29
    • 15844395836 scopus 로고    scopus 로고
    • Adaptively weighted sub-pattern PCA for face recognition
    • DOI 10.1016/j.neucom.2004.10.113, PII S0925231204005600
    • K. Tan, and S. Chen Adaptively weighted sub-pattern PCA for face recognition Neurocomputing 64 2005 505 511 (Pubitemid 40425335)
    • (2005) Neurocomputing , vol.64 , Issue.SPEC. ISS. , pp. 505-511
    • Tan, K.1    Chen, S.2
  • 30
    • 33744968466 scopus 로고    scopus 로고
    • Face recognition from a single image per person: A survey
    • DOI 10.1016/j.patcog.2006.03.013, PII S0031320306001270
    • X. Tan, S. Chen, Z.H. Zhou, and F. Zhang Face recognition from a single image per person: A survey Pattern Recognit. 39 9 2006 1725 1745 (Pubitemid 43867575)
    • (2006) Pattern Recognition , vol.39 , Issue.9 , pp. 1725-1745
    • Tan, X.1    Chen, S.2    Zhou, Z.-H.3    Zhang, F.4
  • 35
    • 34648825723 scopus 로고    scopus 로고
    • A comparative study of local matching approach for face recognition
    • DOI 10.1109/TIP.2007.904421
    • J. Zou, Q. Ji, and G. Nagy A comparative study of local matching approach for face recognition IEEE Trans. Image Process. 16 10 2007 2617 2628 (Pubitemid 47456027)
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.10 , pp. 2617-2628
    • Zou, J.1    Ji, Q.2    Nagy, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.