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Volumn 4844 LNCS, Issue PART 2, 2007, Pages 467-476

The kernel orthogonal mutual subspace method and its application to 3D object recognition

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

EID: 38149076062     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76390-1_46     Document Type: Conference Paper
Times cited : (53)

References (13)
  • 2
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    • Application of the Karhunen-Loeve expansion to feature selection and ordering
    • Fukunaga, K., Koontz, W.C.G.: Application of the Karhunen-Loeve expansion to feature selection and ordering. IEEE Trans. Computers C-19, 311-318 (1970)
    • (1970) IEEE Trans. Computers , vol.C-19 , pp. 311-318
    • Fukunaga, K.1    Koontz, W.C.G.2
  • 3
    • 38149045581 scopus 로고    scopus 로고
    • Maeda, K., Watanabe, S.: A pattern matching method with local structure: Trans. IEICE J68-D(3), 345-352 (1985) (in Japanese)
    • Maeda, K., Watanabe, S.: A pattern matching method with local structure: Trans. IEICE J68-D(3), 345-352 (1985) (in Japanese)
  • 5
    • 10044235880 scopus 로고    scopus 로고
    • Kernel principal angles for classification machines with applications to image sequence interpretation
    • Wolf, L., Shashua, A.: Kernel principal angles for classification machines with applications to image sequence interpretation. In: CVPR 2003, pp. 635-642 (2003)
    • (2003) CVPR 2003 , pp. 635-642
    • Wolf, L.1    Shashua, A.2
  • 7
    • 0032308040 scopus 로고    scopus 로고
    • Weak orthogonalization of face and perturbation for recognition
    • Nagao, K., Sohma, M.: Weak orthogonalization of face and perturbation for recognition. In: CVPR 1998, pp. 845-852 (1998)
    • (1998) CVPR 1998 , pp. 845-852
    • Nagao, K.1    Sohma, M.2
  • 8
    • 38149000638 scopus 로고    scopus 로고
    • Kawahara, T., Nishiyama, M., Yamaguchi, O.: Face recognition by orthogonal mutual subspace method. CVIM-151 151, 17-24 (2005) (in Japanese)
    • Kawahara, T., Nishiyama, M., Yamaguchi, O.: Face recognition by orthogonal mutual subspace method. CVIM-151 151, 17-24 (2005) (in Japanese)
  • 9
    • 84898025467 scopus 로고    scopus 로고
    • Incremental Learning of Locally Orthogonal Subspaces for Set-based Object Recognition
    • Kim, T.-K., Kittler, J., Cipolla, R.: Incremental Learning of Locally Orthogonal Subspaces for Set-based Object Recognition. In: BMVC 2006, pp. 559-568 (2006)
    • (2006) BMVC 2006 , pp. 559-568
    • Kim, T.-K.1    Kittler, J.2    Cipolla, R.3
  • 10
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear principal component analysis as a kernel eigenvalue problem
    • Schölkopf, B., Smola, A., Müller, K.-R.: Nonlinear principal component analysis as a kernel eigenvalue problem. Neural Computation 10, 1299-1319 (1998)
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3
  • 11
    • 33744930580 scopus 로고    scopus 로고
    • Fukui, K., Stenger, B., Yamaguchi, O.: A framework for 3D object recognition using the kernel constrained mutual subspace method. In: Narayanan, P.J., Nayar, S.K., Shum, H.-Y. (eds.) ACCV 2006. LNCS, 3851, pp. 315-324. Springer, Heidelberg (2006)
    • Fukui, K., Stenger, B., Yamaguchi, O.: A framework for 3D object recognition using the kernel constrained mutual subspace method. In: Narayanan, P.J., Nayar, S.K., Shum, H.-Y. (eds.) ACCV 2006. LNCS, vol. 3851, pp. 315-324. Springer, Heidelberg (2006)
  • 13
    • 0042441074 scopus 로고    scopus 로고
    • Analyzing appearance and contour based methods for object categorization
    • Leibe, B., Schiele, B.: Analyzing appearance and contour based methods for object categorization. In: CVPR 2003, pp. 409-415 (2003)
    • (2003) CVPR 2003 , pp. 409-415
    • Leibe, B.1    Schiele, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.