REFERENCES
- G. Mamic, M. Bennamoun, “Representation and recognition of 3D Free-Form Objects,” Digital Signal Processing, Vol. 12, No. 1, January 2002, Elsevier Science (USA)
- Gaile G. Gordon, Face recognition based on depth maps and surface curvature, Harvard Robotics Laboratory Technical Report, Nov. 1992
- Y. Tae Jun and V. H. Raja, “Extracting geometric attributes directly from scanned data sets for feature recognition,” Int. J. of Computer Integrated Manufacturing, No. 1, January 1, 2002
- G. C. Onwubolu, “Manufacturing features recognition using backpropagation neural networks,” J. of Intelligent Manufacturing, 10, 1999, 289–299
- A. Alrashdan, S. Motavalli, B. Fallahi, “Automatic segmentation of digitized data for reverse engineering applications,” IIE Transactions (2000), 32, 59–69
- J. Alfredo, F. Costa, M. L. de Andrade Netto, “Clustering of complex shaped data sets via Kohonen maps and mathematical morphology,” In: Data Mining and Knowledge Discovery: Theory, Tools, and Technology III., Proc. Of the SPIE, vol. 4384, Orlando, FL, USA
- Y. Yu, “Surface reconstruction from unorganized points using self-organizing neural networks,” Proc. IEEE Visualisation 99, 1999,61–64
- L. Varady, M. Hoffmann, E. Kovacs, “Improved free-form modeling of scattered data by dynamic neural networks,” Journal for Geometry and Graphics 3, (1999), 177–183
- M. Hoffmann, L. Varady, “Free-form Surfaces for Scattered Data by Neural Networks,” Journal for Geometry and Graphics, Volume 2 (1998), NO. 1, 1–6
- M. Korosec, Optimization of free-form surface machining using neural networks, Ph.D. Dissertation, University of Maribor, Slovenia, 2003
- J. Balic, M. Korosec, “Intelligent tool path generation for milling of free form surfaces using neural networks,” International Journal of Machine Tools &Manufacture 42, (2002) 1171–1179
- M. Korosec, J. Balic and J. Kopac, “Neural network based manufacturability evaluation of free form machining,” International Journal of Machine Tools & Manufacture 45, (2005) 13–20
- Y. Jun, V. Raja, S. Park, “Geometric Feature Recognition for Reverse Engineering using Neural Networks,” Int. J. Adv. Manuf. Technol. (2001), 17, 462–470
- J. C. Principe, N. R. Euliano, W. C. Lefebvre, Neural and Adaptive Systems: Fundamentals Through Simulation, John Wiley and Sons (2000)
- Q. Ji, M.M. Marefat, Bayesian approach for extracting and identifying features, Computer-Aided Design, 1995, 27(6), 435–454
- W.D. Li, S.K. Ong, A.Y.C. Nee, “A hybrid method for recognizing interacting machining features,” International Journal of Production Research, 2003, 41(9), 1887–1908
- W.D. Li, S.K. Ong, A.Y.C. Nee, “Recognition of overlapping machining features based on hybrid artificial intelligent techniques,” Proceedings of the Institution of Mechanical Engineers, Part B: Journale of Engineering Manufacture, 2000, 214(B8), 739–744
- S. Prabhakar, M.R. Henderson, Automatic form-feature recognition using neural-network-based techniques on boundary representations of solcid models, Computer-Aided Design, 1992, 24(7), 381–393
- K. Nezis, G. Vosniakos, Recognising shape features using neural network and heuristics, Computer-Aided Design, 1997, 29(7), 523–539