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Volumn , Issue , 2007, Pages

Biased manifold embedding: A framework for person-independent head pose estimation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; EMBEDDED SYSTEMS; FEATURE EXTRACTION; HUMAN COMPUTER INTERACTION; IMAGE RECONSTRUCTION; LEARNING SYSTEMS; NEURAL NETWORKS; REGRESSION ANALYSIS;

EID: 35148892730     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383280     Document Type: Conference Paper
Times cited : (151)

References (16)
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    • G. Little, S. Krishna, J. Black, and S. Panchanathan. A methodology for evaluating robustness of face recognition algorithms with respect to variations in pose and illumination angle. In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, pages 89-92, Philadelphia, USA, 2005. 4, 5
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    • 3042819973 scopus 로고    scopus 로고
    • The formulation and solution of multidimensional scaling problems
    • TR93-55, Rice University, 1993. 2
    • M.W.Trosset. The formulation and solution of multidimensional scaling problems. Technical Report Technical Report TR93-55, Rice University, 1993. 2
    • Technical Report Technical Report
    • Trosset, M.W.1
  • 10
    • 35148845888 scopus 로고    scopus 로고
    • B. Raytchev, I. Yoda, and K. Sakaue. Head pose estimation by nonlinear manifold learning. In 17th International Conference on Pattern Recognition (ICPR04), Cambridge, UK, 2004. 1, 2, 3, 4, 6
    • B. Raytchev, I. Yoda, and K. Sakaue. Head pose estimation by nonlinear manifold learning. In 17th International Conference on Pattern Recognition (ICPR04), Cambridge, UK, 2004. 1, 2, 3, 4, 6
  • 12
    • 0034704222 scopus 로고    scopus 로고
    • Non-linear dimensionality reduction by locally linear embedding
    • 2905500
    • S. Roweis and L. Saul. Non-linear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326, 2000. 2
    • (2000) Science , vol.2323-2326 , pp. 2
    • Roweis, S.1    Saul, L.2
  • 13
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • 2905500
    • J. B. Tenenbaum, V. d. Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000. 2
    • (2000) Science , vol.2319-2323 , pp. 2
    • Tenenbaum, J.B.1    Silva, V.D.2    Langford, J.C.3
  • 15
    • 34547175652 scopus 로고    scopus 로고
    • Learning image manifolds by semantic subspace projection
    • Santa Barbara, CA, USA
    • J. Yu and Q. Tian. Learning image manifolds by semantic subspace projection. In ACM Multimedia, Santa Barbara, CA, USA, 2006. 2, 4
    • (2006) ACM Multimedia , vol.2 , pp. 4
    • Yu, J.1    Tian, Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.