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Volumn 25, Issue 1, 2006, Pages 39-59

A Bayesian method for probable surface reconstruction and decimation

Author keywords

Bayesian; Decimation; Denoising; Fairing; Learning; Remeshing; Smoothing

Indexed keywords

BAYESIAN; DECIMATION; DENOISING; FAIRING; REMESHING; SMOOTHING;

EID: 33646248121     PISSN: 07300301     EISSN: 07300301     Source Type: Conference Proceeding    
DOI: 10.1097/00024382-200606001-00117     Document Type: Article
Times cited : (88)

References (27)
  • 1
    • 0342903140 scopus 로고    scopus 로고
    • Representing animations by principal components
    • ALEXA, M. AND MÜLLER, W. 2000. Representing animations by principal components. Comput. Graph. Forum 19, 3.
    • (2000) Comput. Graph. Forum , vol.19 , pp. 3
    • Alexa, M.1    Müller, W.2
  • 3
    • 0037877561 scopus 로고    scopus 로고
    • Anisotropic diffusion of surfaces and functions on surfaces
    • BAJAJ, C. L. AND XU, G. 2003. Anisotropic diffusion of surfaces and functions on surfaces. ACM Trans. Graph. 22, 1, 4-32.
    • (2003) ACM Trans. Graph. , vol.22 , Issue.1 , pp. 4-32
    • Bajaj, C.L.1    Xu, G.2
  • 7
    • 0034446071 scopus 로고    scopus 로고
    • Anisotropic geometric diffusion in surface processing
    • (Los Alamitos, CA), IEEE Computer Society Press
    • CLARENZ, U., DIEWALD, U., AND RUMPF, M. 2000. Anisotropic geometric diffusion in surface processing. In Proceedings of the Conference on Visualization (VIS'00). (Los Alamitos, CA), IEEE Computer Society Press, 397-405.
    • (2000) Proceedings of the Conference on Visualization (VIS'00) , pp. 397-405
    • Clarenz, U.1    Diewald, U.2    Rumpf, M.3
  • 11
    • 0001823724 scopus 로고    scopus 로고
    • Anisotropic feature-preserving denoising of height fields and bivariate data
    • DESBRUN, M., MEYER, M., SCHRODER, P., AND BARR, A. H. 2000. Anisotropic feature-preserving denoising of height fields and bivariate data. In Graphics Interface. 145-152.
    • (2000) Graphics Interface , pp. 145-152
    • Desbrun, M.1    Meyer, M.2    Schroder, P.3    Barr, A.H.4
  • 16
    • 77954022927 scopus 로고    scopus 로고
    • Non-iterative, feature-preserving mesh smoothing
    • JONES, T. R., DURAND, F., AND DESBRUN, M. 2003. Non-iterative, feature-preserving mesh smoothing. ACM Trans. Graph. 22, 3, 943-949.
    • (2003) ACM Trans. Graph. , vol.22 , Issue.3 , pp. 943-949
    • Jones, T.R.1    Durand, F.2    Desbrun, M.3
  • 18
    • 85133208486 scopus 로고    scopus 로고
    • Learning to perceive transparency from the statistics of natural scenes
    • LEVIN, A., ZOMET, A., AND WEISS, Y. 2002. Learning to perceive transparency from the statistics of natural scenes. In NIPS. 1247-1254.
    • (2002) NIPS , pp. 1247-1254
    • Levin, A.1    Zomet, A.2    Weiss, Y.3
  • 19
    • 12844282150 scopus 로고    scopus 로고
    • A virtual node algorithm for changing mesh topology during simulation
    • MOLINO, N., BAO, Z., AND FEDKIW, R. 2004. A virtual node algorithm for changing mesh topology during simulation. ACM Trans. Graph. 23, 3, 385-392.
    • (2004) ACM Trans. Graph. , vol.23 , Issue.3 , pp. 385-392
    • Molino, N.1    Bao, Z.2    Fedkiw, R.3
  • 21
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • SAUL, L. K. AND ROWEIS, S. T. 2003. Think globally, fit locally: Unsupervised learning of low dimensional manifolds. J. Mach. Learn. Res. 4, 119-155.
    • (2003) J. Mach. Learn. Res. , vol.4 , pp. 119-155
    • Saul, L.K.1    Roweis, S.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.