Opto-Electronic Engineering, Volume. 34, Issue 8, 115(2007)
Rotation-invariant 3-D object recognition based on structured light illumination and BP neural networks
[1] [1] Lugt A Vander.Signal detection by complex spatial filtering[J].IEEE Transactions on Information Theory,1964,10(2):139-145.
[2] [2] Javidi S,Odeh S F.Multiple object identification by bipolar joint transform correlation[J].Opt.Eng,1988,27(4):295-300.
[3] [3] Hsu Yuan-neng,Arenault H H,April G.Rotation-invariant pattern recognition using circular harmonic expansion[J].Appl.Opt,1982,21(22):4012-4015.
[4] [4] Javidi Bathram.Synthetic discriminant function based binary nonlinear optical correlator[J].Appl.Opt,1989,28(13):2490-2493.
[5] [5] Casasent David.Unified synthetic discriminant function computational formulation[J].Appl.Opt,1984,23(10):1620-1627.
[6] [6] Yu Francis T S,Jutamulia Suganda.Optical Pattern Recognition[M].New York:Cambridge University Press,1998:40-64.
[7] [7] Arbib M A.The handbook of brain theory and neural networks[M].Cambridge.USA:MIT Press,1995.
[8] [8] Hornik K,Stinch combe M,White H.Multilayer feed forward neural networks are universal approximators[J].Neural nerworks,1989,2:359-366.
[12] [12] Goodman J.W.Introduction of Fourier Optics[M].ZHAN Da-san.Beijing:Science Press,1976.
[13] [13] Ravechandran G,Casasent D.Minimum noise and correlation energy (MINACE) optical correlation filters[J].Appl.Optics,1992,31:1823-1833.
[14] [14] Hong Ru-tong,Chen Ren-yuan,En Hong.New signal post-processing technique to 3-D object distortion-invariant correlation recognition[J].SPIE,1998,3446:324-330.
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[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Rotation-invariant 3-D object recognition based on structured light illumination and BP neural networks[J]. Opto-Electronic Engineering, 2007, 34(8): 115