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Volumn 22, Issue 3, 2010, Pages 689-729

Growing self-organizing surface map: Learning a surface topology from a point cloud

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; LEARNING;

EID: 77952965419     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.08-08-842     Document Type: Article
Times cited : (12)

References (46)
  • 4
    • 0036793417 scopus 로고    scopus 로고
    • Adaptive reconstruction of freeform objects with 3D SOM neural network grids
    • Barhak, J., & Fischer, A. (2002). Adaptive reconstruction of freeform objects with 3D SOM neural network grids. Computer and Graphics, 26, 745-751.
    • (2002) Computer and Graphics , vol.26 , pp. 745-751
    • Barhak, J.1    Fischer, A.2
  • 5
    • 0016557674 scopus 로고
    • Multidimensional binary search trees used for associative searching
    • Bentley, J. L. (1975).Multidimensional binary search trees used for associative searching. Communications of the ACM, 18(9), 509-517.
    • (1975) Communications of the ACM , vol.18 , Issue.9 , pp. 509-517
    • Bentley, J.L.1
  • 6
    • 38649129382 scopus 로고    scopus 로고
    • A partition-of-unity based algorithm for implicit surface reconstruction using belief propagation
    • Piscataway, NJ: IEEE
    • Chen, Y-L., & Lai, S-H. (2007). A partition-of-unity based algorithm for implicit surface reconstruction using belief propagation. In Proc. IEEE International Conference on Shape Modeling and Applications (pp. 147-155). Piscataway, NJ: IEEE.
    • (2007) Proc. IEEE International Conference on Shape Modeling and Applications , pp. 147-155
    • Chen, Y.L.1    Lai, S.H.2
  • 7
    • 0001452452 scopus 로고    scopus 로고
    • Metro: Measuring error on simplified surfaces
    • Blackwell
    • Cignoni, P., Rochini, P., & Scopigno, R. (1998). Metro: Measuring error on simplified surfaces. Computer Graphics Forum, 17, 167-174. Blackwell.
    • (1998) Computer Graphics Forum , vol.17 , pp. 167-174
    • Cignoni, P.1    Rochini, P.2    Scopigno, R.3
  • 8
    • 32044448971 scopus 로고    scopus 로고
    • Neural-network-based models of 3-D objects for virtualized reality: A comparative study
    • Cretu, A. M., Petriu, E. M., & Patry, G. G. (2006). Neural-network-based models of 3-D objects for virtualized reality: A comparative study. IEEE Transactions on Instrumentation and Measurement, 55(1), 99-111.
    • (2006) IEEE Transactions on Instrumentation and Measurement , vol.55 , Issue.1 , pp. 99-111
    • Cretu, A.M.1    Petriu, E.M.2    Patry, G.G.3
  • 13
    • 36549018190 scopus 로고    scopus 로고
    • An algorithm for the construction of intrinsic Delaunay triangulations with applications to digital geometry processing
    • Fisher, M., Springborn, B., Schröder, P., & Bobenko, A. I. (2007). An algorithm for the construction of intrinsic Delaunay triangulations with applications to digital geometry processing. Computing, 81, 199-213.
    • (2007) Computing , vol.81 , pp. 199-213
    • Fisher, M.1    Springborn, B.2    Schröder, P.3    Bobenko, A.I.4
  • 14
    • 0009618584 scopus 로고
    • A simple elastic model for self-organizing topological mappings
    • Folk, R., & Kartashov, A. (1994). A simple elastic model for self-organizing topological mappings. Network: Computation in Neural Systems, 5, 369-387.
    • (1994) Network: Computation in Neural Systems , vol.5 , pp. 369-387
    • Folk, R.1    Kartashov, A.2
  • 15
    • 0028748949 scopus 로고
    • Growing cell structures-A self-organizing network for unsupervised and supervised learning
    • Fritzke, B. (1994). Growing cell structures-A self-organizing network for unsupervised and supervised learning. Neural Networks, 7, 1441-1460.
    • (1994) Neural Networks , vol.7 , pp. 1441-1460
    • Fritzke, B.1
  • 16
    • 0000773486 scopus 로고
    • A growing neural gas network learns topologies
    • G. Tesauro, D. S. Touretsky,&T. K. Leen. (Eds.), Cambridge MA: MIT Press
    • Fritzke, B. (1995). A growing neural gas network learns topologies. In G. Tesauro, D. S. Touretsky,&T. K. Leen (Eds.), Advances in Neural Information Processing Systems, 7. Cambridge MA: MIT Press.
    • (1995) Advances in Neural Information Processing Systems , vol.7
    • Fritzke, B.1
  • 17
    • 1342319543 scopus 로고    scopus 로고
    • Free-form modeling surfaces for scattered data by neural networks
    • Hoffmann, M., & Varady, L. (1998). Free-form modeling surfaces for scattered data by neural networks. Journal for Geometry and Graphics, 2(1), 1-6.
    • (1998) Journal for Geometry and Graphics , vol.2 , Issue.1 , pp. 1-6
    • Hoffmann, M.1    Varady, L.2
  • 18
    • 41149114149 scopus 로고    scopus 로고
    • Three-dimensional surface reconstruction using meshing growing neural gas (MGNG)
    • Holdstein, Y., & Fischer, A. (2008). Three-dimensional surface reconstruction using meshing growing neural gas (MGNG). Visual Computer, 24(4), 295-302.
    • (2008) Visual Computer , vol.24 , Issue.4 , pp. 295-302
    • Holdstein, Y.1    Fischer, A.2
  • 21
    • 13944278673 scopus 로고    scopus 로고
    • Efficient and feature-preserving triangular mesh decimation
    • Hussain, M., Okada, Y., & Nijima, K. (2004). Efficient and feature-preserving triangular mesh decimation. Journal of WSCG, 12(1), 167-174.
    • (2004) Journal of WSCG , vol.12 , Issue.1 , pp. 167-174
    • Hussain, M.1    Okada, Y.2    Nijima, K.3
  • 25
    • 84884749182 scopus 로고    scopus 로고
    • Using growing cell structures for surface reconstruction
    • San Mateo, CA: IEEE Computer Society
    • Ivrissimtzis, I., Jeong, W. K., & Seidel, H. P. (2003a). Using growing cell structures for surface reconstruction. In Proc. IEEE Shape Modeling International (3: 78-86). San Mateo, CA: IEEE Computer Society.
    • (2003) Proc. IEEE Shape Modeling International , vol.3 , pp. 78-86
    • Ivrissimtzis, I.1    Jeong, W.K.2    Seidel, H.P.3
  • 30
    • 0345404396 scopus 로고    scopus 로고
    • The self-organizing map
    • Kohonen, T. (1998). The self-organizing map. Neurocomputing, 21, 1-6.
    • (1998) Neurocomputing , vol.21 , pp. 1-6
    • Kohonen, T.1
  • 31
    • 7444225262 scopus 로고    scopus 로고
    • Curve and surface reconstruction from points: An approach based on self-organizing maps
    • Kumar, S. G., Kalra, K. P., & Dhande, G. S. (2004). Curve and surface reconstruction from points: An approach based on self-organizing maps. Applied Soft Computing, 5, 55-66.
    • (2004) Applied Soft Computing , vol.5 , pp. 55-66
    • Kumar, S.G.1    Kalra, K.P.2    Dhande, G.S.3
  • 33
    • 21544462894 scopus 로고    scopus 로고
    • Conformal self-organizing map for a genus-zero manifold
    • Liou, C. Y., & Kuo, Y. T. (2005). Conformal self-organizing map for a genus-zero manifold. Visual Computer. 21, 340-353.
    • (2005) Visual Computer , vol.21 , pp. 340-353
    • Liou, C.Y.1    Kuo, Y.T.2
  • 34
    • 0032796990 scopus 로고    scopus 로고
    • Conformal self-organization for continuity on a feature map
    • Liou,C. Y.,&Tai,W. P. (1999). Conformal self-organization for continuity on a feature map. Neural Networks, 12, 893-905.
    • (1999) Neural Networks , vol.12 , pp. 893-905
    • Liou, C.Y.1    Tai, W.P.2
  • 36
    • 0035336812 scopus 로고    scopus 로고
    • Adeveloper's survey of simplification algorithms
    • Luebek,D. P. (2001).Adeveloper's survey of simplification algorithms. IEE Computer Graphics and Applications, 21(3), 24-35.
    • (2001) IEE Computer Graphics and Applications , vol.21 , Issue.3 , pp. 24-35
    • Luebek, D.P.1
  • 37
    • 77953347807 scopus 로고    scopus 로고
    • Simulation of self organizing structures using neuro mechanical networks
    • N.p.: SCS European Publishing House
    • Magnus, S., Petter, K., & Matts, K. (2003). Simulation of self organizing structures using neuro mechanical networks. In 17th European Simulation Multiconference EMS'03 (pp. 532-537). N.p.: SCS European Publishing House.
    • (2003) 17th European Simulation Multiconference EMS'03 , pp. 532-537
    • Magnus, S.1    Petter, K.2    Matts, K.3
  • 38
    • 0036789790 scopus 로고    scopus 로고
    • A self-organizing network that grows when required
    • Marsland, S., Shapiro, J., & Nehmzow, U. (2002). A self-organizing network that grows when required. Neural Networks, 15, 1041-1058.
    • (2002) Neural Networks , vol.15 , pp. 1041-1058
    • Marsland, S.1    Shapiro, J.2    Nehmzow, U.3
  • 39
    • 0000742931 scopus 로고
    • "Neural-gas" network learns topologies
    • T. Kohonen, K. Makisara, O. Simula, & J. Kangas (Eds.). Amsterdam: Elesevier
    • Martinez, T., & Schulten, K. A. (1991). " Neural-gas" network learns topologies. In T. Kohonen, K. Makisara, O. Simula, & J. Kangas (Eds.), Artificial neural networks (pp. 397-402). Amsterdam: Elesevier.
    • (1991) Artificial neural networks , pp. 397-402
    • Martinez, T.1    Schulten, K.A.2
  • 40
    • 0028204732 scopus 로고
    • Topology representing networks
    • Martinez, T.,&Schulten,K. (1994). Topology representing networks. Neural Networks, 7(3), 507-522.
    • (1994) Neural Networks , vol.7 , Issue.3 , pp. 507-522
    • Martinez, T.1    Schulten, K.2
  • 41
    • 58049191082 scopus 로고    scopus 로고
    • (Tech. Rep.). Clausthal: Institut für Informatik, Technische Universität Clausthal
    • Melato, M., Hammer, B., & Hormann, K. (2007). Neural gas for surface reconstruction. (Tech. Rep.). Clausthal: Institut für Informatik, Technische Universiẗat Clausthal.
    • (2007) Neural gas for surface reconstruction
    • Melato, M.1    Hammer, B.2    Hormann, K.3
  • 42
    • 28844486787 scopus 로고    scopus 로고
    • Sparse surface reconstruction with adaptive partition of unit and radial basis functions
    • Ohtake, Y., Belyaev, A., & Seidel, H-P. (2005). Sparse surface reconstruction with adaptive partition of unit and radial basis functions. Graphical Models, 68, 15-24.
    • (2005) Graphical Models , vol.68 , pp. 15-24
    • Ohtake, Y.1    Belyaev, A.2    Seidel, H.-P.3
  • 43
    • 33947613636 scopus 로고    scopus 로고
    • Orthogonal least squares in partition of unit surface reconstruction with radial basis function
    • San Mateo, CA: IEEE Computer Society
    • Qi, X., Wang, M. Y., & Wu, X. (2006). Orthogonal least squares in partition of unit surface reconstruction with radial basis function. In Proc. IEEE GeometricModeling and Imaging-GMAI'06 (pp. 28-33). San Mateo, CA: IEEE Computer Society.
    • (2006) Proc. IEEE GeometricModeling and Imaging-GMAI'06 , pp. 28-33
    • Qi, X.1    Wang, M.Y.2    Wu, X.3
  • 45
    • 6344263879 scopus 로고    scopus 로고
    • Multi-scale reconstruction of implicit surfaces with attributes from large unorganized point sets
    • Piscataway, NJ: IEEE
    • Tobor, I.,Reuter,P.,&Schlick, C. (2004).Multi-scale reconstruction of implicit surfaces with attributes from large unorganized point sets. In Proc. IEEE Shape Modeling International (SMI'04) (pp. 19-30). Piscataway, NJ: IEEE.
    • (2004) Proc. IEEE Shape Modeling International (SMI'04) , pp. 19-30
    • Tobor, I.1    Reuter, P.2    Schlick, C.3
  • 46
    • 36549072547 scopus 로고    scopus 로고
    • A robust hole-filling algorithm for triangular mesh
    • Zhao, W., Gao, S., & Lin, H. (2007). A robust hole-filling algorithm for triangular mesh. Visual Computer, 23, 987-997.
    • (2007) Visual Computer , vol.23 , pp. 987-997
    • Zhao, W.1    Gao, S.2    Lin, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.