Shape detection of moving objects based on a neural network of a light line

Optics Communications

Volumn 221, Issue 1-3, 2003, Pages 73-86

  Muñoz Rodríguez, J Apolinar ^a,b   Asundi, Anand ^a,b   Rodríguez Vera, Ramon ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b CENTRO DE INVESTIGACIONES EN ÓPTICA   (Mexico)

Author keywords

3D shape detection; Gaussian approximation; Light line projection; Radial basis function neural network

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; ELECTROMECHANICAL DEVICES; ERROR ANALYSIS; IMAGE PROCESSING; LIGHT; RADIAL BASIS FUNCTION NETWORKS;

LIGHT LINE PROJECTION;

OPTICAL COMMUNICATION;

EID: 0037840572     PISSN: 00304018     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0030-4018(03)01458-5     Document Type: Article

References (23)

1. Cheng X.X., Su X.Y., Guo L.R. Automated measurement method for 360 profilometry of 3D diffuse objects. Appl. Opt. 30(10):1991;1274-1278.
2. Thomas L.P., Gratton R., Marino B.M., Simon J.M. Measurements of free surface profiles in transient flow by a simple light slicing method. Appl. Opt. 33(13):1994;2455-2458.
3. Tai W.Ch., Chang M. Non contact profilometric measurement of large form parts. Opt. Eng. 35(9):1996;2730-2735.
4. Baba M., Konishi T., Kobayashi N. A novel fast rangefinder with non-mechanical operation. J. Opt. 29(3):1998;241-249.
5. Marokkey S.R., Tay Ch. J., Shang H.M., Asundi A.K. Time delay an integration imaging for inspection and profilometry of moving objects. Opt. Eng. 36(9):1997;2573-2578.
6. Sajan M.R., Tay C.J., Shang H.M., Asundi A. Improved spatial phase detection for profilometry using a TDI imager. Opt. Commun. 150(1-6):1998;66-70.
7. Asundi A., Zhou W. Mapping algorithm for 360-deg profilometry with time delay integration imaging. Opt. Eng. 38(2):1999;339-344.
8. Muñoz-Rodriguez J.A., Rodriguez-Vera R., Servin M. Direct object shape detection base on skeleton extraction of a light line. Opt. Eng. 39(9):2000;2463-2471.
9. Picton P. Neural Networks. 1998;Polgrave, USA.
10. Herzog W.D., Unlu M.S., Goldberg B.B., Rhodes G.H. Beam divergence and waist measurement of laser diodes by near field scanning optical microscopy. Appl. Phys. Lett. 70(6):1997;688-690.
11. Dixon W.J., Massey F.J. Jr. Introduction to Statical Analysis. 1969;McGraw-Hill, USA.
12. Holman J.P. Experimental Methods for Engineers. 1984;McGraaw-Hill, USA.
13. Neifeld A.M., Psaltis D. Optical implementations of radial basis classifiers. Appl. Opt. 32(8):1993;1370-1379.
14. Foor E.W., Neifeld A.M. Adaptive, optical, radial basis function neural network for handwritten digit recognition. Appl. Opt. 34(32):1995;7545-7555.
15. Cuevas F.J., Servin M., Rodriguez-Vera R. Depth object recovery using radial basis functions. Opt. Commun. 163:1999;270-277.
16. Fravel Y., Pauliat G., Avilling, Roosen G. High-capacity photorefractive neural network implementing a kohonen topological map. Appl. Opt. 40(9):2001;5162-5169.
17. Sabisch T., Ferguson A., Bolouri H. Identification of complex shapes using a self organizing neural system. IEEE Trans. Neural Networks. 11(4):2000;921-934.
18. Leung H., Dubash N., Xie N. Detection of small objects in clutter using a GA-RBF neural network. IEEE Trans. Aerospace Electron. Syst. 38(1):2002;98-118.
19. Rojas I., Pomares H., Gonzalez J., Bernier J.L., Ros E., Pelayo F.J., Prieto A. Analysis of the functional block involved in the design of radial basic functions. Neural Process. Lett. 12(1):2000;1-17.
20. Schalkoff R.J. Artificial Neural Networks. 1997;McGraw-Hill, USA.
21. Freeman J.A., Skapura D.M. Neural Networks Algorithms, Applications and Programming Techniques. 1991;Addison-Wesley, USA.
22. Press W.H., Flannery B.P., Teukolsky S.A., Vetterling W.T. Numerical Recipes in C. 1993;Cambridge University Press, Cambridge, MA.
23. Masters T. Practical Neural Networks Recipes in C++. 1993;Academic Press, USA.