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Volumn 2352, Issue , 2002, Pages 21-31

Approximate thin plate spline mappings

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MATRIX ALGEBRA; PORE PRESSURE; SPLINES;

EID: 84949998361     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47977-5_2     Document Type: Conference Paper
Times cited : (194)

References (11)
  • 3
    • 79957563017 scopus 로고
    • Principal warps: Thin-plate splines and decomposition of deformations
    • June
    • F. L. Bookstein. Principal warps: thin-plate splines and decomposition of deformations. IEEE Trans. Pattern Analysis and Machine Intelligence, 11(6):567-585, June 1989.
    • (1989) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.11 , Issue.6 , pp. 567-585
    • Bookstein, F.L.1
  • 5
    • 0031150152 scopus 로고    scopus 로고
    • A physics-based coordinate transformation for 3-d image matching
    • M.H. Davis, A. Khotanzad, D. Flamig, and S. Harms. A physics-based coordinate transformation for 3-d image matching. IEEE Trans. Medical Imaging, 16(3):317-328, June 1997.
    • (1997) IEEE Trans. Medical Imaging , vol.16 , Issue.3 , pp. 317-328
    • Davis, M.H.1    Khotanzad, A.2    Flamig, D.3    Harms, S.4
  • 6
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • F. Girosi, M. Jones, and T. Poggio. Regularization theory and neural networks architectures. Neural Computation, 7(2):219-269, 1995.
    • (1995) Neural Computation , vol.7 , Issue.2 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 7
    • 0008912473 scopus 로고    scopus 로고
    • A thin plate spline method for mapping curves into curves in two dimensions
    • Melbourne, Australia
    • M. J. D. Powell. A thin plate spline method for mapping curves into curves in two dimensions. In Computational Techniques and Applications (CTAC95), Melbourne, Australia, 1995.
    • Computational Techniques and Applications (CTAC95) , pp. 1995
    • Powell, M.1
  • 8
    • 0002493574 scopus 로고    scopus 로고
    • Sparse greedy matrix approximation for machine learning
    • A.J. Smola and B. Schölkopf. Sparse greedy matrix approximation for machine learning. In ICML, 2000.
    • (2000) ICML
    • Smola, A.J.1    Schölkopf, B.2
  • 9
    • 0003241883 scopus 로고
    • Spline Models for Observational Data
    • G. Wahba. Spline Models for Observational Data. SIAM, 1990.
    • (1990) SIAM
    • Wahba, G.1
  • 10
    • 0030683247 scopus 로고    scopus 로고
    • Smoothness in layers: Motion segmentation using nonparametric mixture estimation
    • Y. Weiss. Smoothness in layers: Motion segmentation using nonparametric mixture estimation. In Proc. IEEE Conf. Comput. Vision and Pattern Recognition, pages 520-526, 1997.
    • (1997) Proc. IEEE Conf. Comput. Vision and Pattern Recognition , pp. 520-526
    • Weiss, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.