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Volumn 29, Issue 6, 1996, Pages 919-935

3D object classification using multi-object Kohonen networks

Author keywords

Kohonen networks; Multi object system; Recognition; Single perspective view; Three dimensional planar faced objects

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; CORRELATION METHODS; DATABASE SYSTEMS; IMAGE PROCESSING; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; THREE DIMENSIONAL; TOPOLOGY;

EID: 0030165136     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(95)00132-8     Document Type: Article
Times cited : (13)

References (43)
  • 1
    • 0022037766 scopus 로고
    • Three-dimensional object recognition
    • March
    • P. J. Besl and R. C. Jain, Three-dimensional object recognition, Comput. Surveys 17, 75-145 (March 1985).
    • (1985) Comput. Surveys , vol.17 , pp. 75-145
    • Besl, P.J.1    Jain, R.C.2
  • 2
    • 0026359681 scopus 로고
    • Constraints for interpretation of line drawings under perspective projection
    • January
    • Ulupinar F. and Neviata R, Constraints for interpretation of line drawings under perspective projection, Comput. Vision Graphics Image Process. 53, 88-96 (January 1991).
    • (1991) Comput. Vision Graphics Image Process , vol.53 , pp. 88-96
    • Ulupinar, F.1    Neviata, R.2
  • 3
    • 0020844410 scopus 로고
    • Interpreting perspective images
    • S. T. Barnard, Interpreting perspective images, Artif. Intell. 21, 435-462 (1983).
    • (1983) Artif. Intell. , vol.21 , pp. 435-462
    • Barnard, S.T.1
  • 4
    • 0023348861 scopus 로고
    • New methods for matching 3D objects with single perspective views
    • May
    • R. Horaud, New methods for matching 3D objects with single perspective views, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-9, 401-412 (May 1987).
    • (1987) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI-9 , pp. 401-412
    • Horaud, R.1
  • 5
    • 0019109760 scopus 로고
    • The use of characteristic views in the recognition of three-dimensional objects
    • E. Gelsema and L. Kanal, eds, North-Holland, Amsterdam
    • H. Freeman and I. Chakravarty, The use of characteristic views in the recognition of three-dimensional objects, Pattern Recognition in Practice, E. Gelsema and L. Kanal, eds, pp. 277-288, North-Holland, Amsterdam (1980).
    • (1980) Pattern Recognition in Practice , pp. 277-288
    • Freeman, H.1    Chakravarty, I.2
  • 6
    • 7744219996 scopus 로고
    • The use of characteristic views classes for 3D object recognition
    • Academic Press
    • R. Wang and H. Freeman, The use of characteristic views classes for 3D object recognition, Machine Vision for Three-dimensional Scences, Academic Press, (1990).
    • (1990) Machine Vision for Three-dimensional Scences
    • Wang, R.1    Freeman, H.2
  • 10
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • T. Poggio and F. Girosi, Networks for approximation and learning. Proc. IEEE 78, 1481-1497 (1990).
    • (1990) Proc. IEEE , vol.78 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 11
    • 0024104192 scopus 로고
    • 2D invariant object recognition using distributed associative memory
    • November
    • H. Wechsler and G. L. Zimmerman, 2D invariant object recognition using distributed associative memory, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-10, 811-821 (November 1988).
    • (1988) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI-10 , pp. 811-821
    • Wechsler, H.1    Zimmerman, G.L.2
  • 12
    • 0025468435 scopus 로고
    • Selective and focused invariant recognition using distributed associative memories (DAM)
    • August
    • W. Polzleitner and H. Wechsler, Selective and focused invariant recognition using distributed associative memories (DAM), IEEE Trans. Pattern Anal. Mach. Intell. PAMI-12, 809-814 (August 1990).
    • (1990) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI-12 , pp. 809-814
    • Polzleitner, W.1    Wechsler, H.2
  • 13
    • 0026638473 scopus 로고
    • Object recognition using invariant object boundary representations and neural networks models
    • G. N. Bebis and G. Papadourakis, Object recognition using invariant object boundary representations and neural networks models, Pattern Recognition 25, 25-44 (1992).
    • (1992) Pattern Recognition , vol.25 , pp. 25-44
    • Bebis, G.N.1    Papadourakis, G.2
  • 14
    • 0027558699 scopus 로고
    • A connectionist model for category perception: Theory and implementation
    • March
    • J. Basak, C. A. Murthy, S. Chaudhury and D. D. Majumber, A connectionist model for category perception: theory and implementation, IEEE Trans. Neural Networks 4, 257-269 (March 1993).
    • (1993) IEEE Trans. Neural Networks , vol.4 , pp. 257-269
    • Basak, J.1    Murthy, C.A.2    Chaudhury, S.3    Majumber, D.D.4
  • 15
    • 0025838956 scopus 로고
    • A hierarchical multiple-view approach to three-dimensional object recognition
    • January
    • W.-C. Lin, F.-H. Liao, C.-K. Tsao and T. Lingutla, A hierarchical multiple-view approach to three-dimensional object recognition, IEEE Trans. Neural Networks 2, 84-92 (January 1991).
    • (1991) IEEE Trans. Neural Networks , vol.2 , pp. 84-92
    • Lin, W.-C.1    Liao, F.-H.2    Tsao, C.-K.3    Lingutla, T.4
  • 16
    • 0025037991 scopus 로고
    • A network that learns to recognize three-dimensional objects
    • January
    • T. Poggio and S. Edelman, A network that learns to recognize three-dimensional objects, Nature 343, 263-266 (January 1990).
    • (1990) Nature , vol.343 , pp. 263-266
    • Poggio, T.1    Edelman, S.2
  • 20
    • 0001266569 scopus 로고
    • A survey of the edge detection techniques
    • L. S. Davis, A survey of the edge detection techniques, Comput. Graph. Image Process. 4, 248-270 (1975).
    • (1975) Comput. Graph. Image Process. , vol.4 , pp. 248-270
    • Davis, L.S.1
  • 22
    • 0025683434 scopus 로고
    • Robust line-drawing extraction for polyhedra using weighted polarized hough transform
    • Wen-Nung Lie and Yung-Chang Chen, Robust line-drawing extraction for polyhedra using weighted polarized Hough transform, Pattern Recognition 23, 261-274 (1990).
    • (1990) Pattern Recognition , vol.23 , pp. 261-274
    • Wen-Nung, L.1    Chen, Y.-C.2
  • 23
    • 0001834698 scopus 로고
    • M. A. Gluck and D. E. Rumelhart, eds, Lawrence Erlbaum Associates, New Jersey
    • K. D. Miller, Neuroscience and Connectionist Theory, M. A. Gluck and D. E. Rumelhart, eds, pp. 267-353, Lawrence Erlbaum Associates, New Jersey (1990).
    • (1990) Neuroscience and Connectionist Theory , pp. 267-353
    • Miller, K.D.1
  • 25
    • 33645410496 scopus 로고
    • Receptive fields, binocular integration and functional architecture in the cat's visula cortex
    • D. H. Hubel and T. N. Wiesel, Receptive fields, binocular integration and functional architecture in the cat's visula cortex, J. Physiol. 160, 106-154 (1962).
    • (1962) J. Physiol. , vol.160 , pp. 106-154
    • Hubel, D.H.1    Wiesel, T.N.2
  • 26
    • 0016289379 scopus 로고
    • Sequence, regularity and geometry of orientation columns in the monkey striate cortex
    • D. H. Hubel and T. N. Wiesel, Sequence, regularity and geometry of orientation columns in the monkey striate cortex, J. Comp. Neurol. 158, 267-293 (1974).
    • (1974) J. Comp. Neurol. , vol.158 , pp. 267-293
    • Hubel, D.H.1    Wiesel, T.N.2
  • 27
    • 0027806867 scopus 로고
    • Physiological interpretation of the self-organizing map algorithm
    • T. Kohonen, Physiological interpretation of the self-organizing map algorithm, Neural Networks 6, 895-905 (1993).
    • (1993) Neural Networks , vol.6 , pp. 895-905
    • Kohonen, T.1
  • 28
    • 78651178699 scopus 로고
    • Receptive fields and functional architecture in two non-striate visual areas (18 and 19) of the cat
    • D. H. Hubel and T. N. Wiesel, Receptive fields and functional architecture in two non-striate visual areas (18 and 19) of the cat, J. Neurophysiol. 128, 229-289 (1965).
    • (1965) J. Neurophysiol. , vol.128 , pp. 229-289
    • Hubel, D.H.1    Wiesel, T.N.2
  • 29
    • 0015749493 scopus 로고
    • Self-organization of orientation-sensitive cells in the striate cortex
    • C. von der Malsburg, Self-organization of orientation-sensitive cells in the striate cortex, Kybernetik 15, 85-100 (1973).
    • (1973) Kybernetik , vol.15 , pp. 85-100
    • Von Der Malsburg, C.1
  • 30
    • 0002047657 scopus 로고
    • Principles of cortical network organization
    • P. Rakic and W. Singer, eds, Wiley, New York
    • C. von der Malsburg and W. Singer, Principles of cortical network organization, Neurobiology of Neocortex, P. Rakic and W. Singer, eds, pp. 69-99, Wiley, New York (1988).
    • (1988) Neurobiology of Neocortex , pp. 69-99
    • Von Der Malsburg, C.1    Singer, W.2
  • 31
    • 0025489075 scopus 로고
    • The self-organizing map
    • September
    • T. Kohonen, The self-organizing map, Proc. IEEE 78, 1464-1480 (September 1990).
    • (1990) Proc. IEEE , vol.78 , pp. 1464-1480
    • Kohonen, T.1
  • 32
    • 0012195187 scopus 로고
    • Some asymptotic results for learning in single hidden-layer feed forward network models
    • December
    • H. White, Some asymptotic results for learning in single hidden-layer feed forward network models, J. Am. Stat. Assoc. 84, 1003-1013 (December 1989).
    • (1989) J. Am. Stat. Assoc. , vol.84 , pp. 1003-1013
    • White, H.1
  • 33
    • 0345331767 scopus 로고
    • On the convergence of learning algorithm for topological maps
    • P. Ru̇žička, On the convergence of learning algorithm for topological maps, Neural Network World 4, 413-424 (1993).
    • (1993) Neural Network World , vol.4 , pp. 413-424
    • Ružička, P.1
  • 34
    • 0000201164 scopus 로고
    • Statistical-mechanical analysis of self-organization and pattern formation during the development of visual maps
    • K. Obermayer, G. G. Blasdel and K. J. Schulten, Statistical-mechanical analysis of self-organization and pattern formation during the development of visual maps, Physical Rev. A 45 7568-7589 (1992).
    • (1992) Physical Rev. A , vol.45 , pp. 7568-7589
    • Obermayer, K.1    Blasdel, G.G.2    Schulten, K.J.3
  • 35
    • 0001470821 scopus 로고
    • Self-organization of the one-dimensional kohonen algorithm with non-uniformly distributed stimuli
    • C. Bouton and G. Pages, Self-organization of the one-dimensional kohonen algorithm with non-uniformly distributed stimuli, Stochastic Proc. Applic. 47, 249-274 (1993).
    • (1993) Stochastic Proc. Applic. , vol.47 , pp. 249-274
    • Bouton, C.1    Pages, G.2
  • 36
    • 0001798623 scopus 로고
    • Convergence in distribution of the one-dimensional kohonen algorithm when the stimuli are not uniform
    • March
    • C. Bouton and G. Pagès, Convergence in distribution of the one-dimensional kohonen algorithm when the stimuli are not uniform, Adv. Appl. Probability 26 (March 1994)
    • (1994) Adv. Appl. Probability , pp. 26
    • Bouton, C.1    Pagès, G.2
  • 37
    • 0002961288 scopus 로고
    • On the stationarity state of the kohonen's self-organizing sensor mapping
    • H. Ritter and K. Schulten, On the stationarity state of the kohonen's self-organizing sensor mapping, Biol. Cybern. 54, 99-106 (1986).
    • (1986) Biol. Cybern. , vol.54 , pp. 99-106
    • Ritter, H.1    Schulten, K.2
  • 38
    • 34250092740 scopus 로고
    • Convergence properties of kohonen topology conserving maps: Fluctuations, stability and dimension selection
    • H. Ritter and K. Schulten, Convergence properties of kohonen topology conserving maps: fluctuations, stability and dimension selection, Biol. Cybern. 60, 59-71 (1988).
    • (1988) Biol. Cybern. , vol.60 , pp. 59-71
    • Ritter, H.1    Schulten, K.2
  • 40
    • 0019229444 scopus 로고
    • Haralick, using perspective transformations in scene analysis
    • Robert M. Haralick, Using perspective transformations in scene analysis, Comput. Graph. Image Process. 13, 191-221 (1980).
    • (1980) Comput. Graph. Image Process. , vol.13 , pp. 191-221
    • Robert, M.1
  • 41
    • 0007927306 scopus 로고
    • 3D planar faced object recognition using kohonen networks
    • June
    • A. Del Bimbo, L. Landi and S. Santini, 3D planar faced object recognition using kohonen networks. Optical Engng. 32, 1222-1234 (June 1993).
    • (1993) Optical Engng. , vol.32 , pp. 1222-1234
    • Bimbo, A.D.1    Landi, L.2    Santini, S.3
  • 42
    • 0022808786 scopus 로고
    • A computational approach to edge detection
    • November
    • J. F. Canny, A computational approach to edge detection, IEEE Trans. Pattern Anal. Mach. Intell. 76, 679-698 (November 1986).
    • (1986) IEEE Trans. Pattern Anal. Mach. Intell. , vol.76 , pp. 679-698
    • Canny, J.F.1
  • 43
    • 0000370088 scopus 로고
    • Perceptual organization for scene segmentation and description
    • June
    • R. Nevatia and R. Mohan, Perceptual organization for scene segmentation and description, IEEE Trans. Pattern Anal. Mach. Intell. 14, 616-635 (June 1992).
    • (1992) IEEE Trans. Pattern Anal. Mach. Intell. , vol.14 , pp. 616-635
    • Nevatia, R.1    Mohan, R.2


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