Share Email Print
cover

Proceedings Paper

Neural networks applied to measurement of three-dimensional object shapes using phases recovered from Fourier transform profilometry and phase locked loops
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Calibration in fringe projection profilometry is investigated using neural networks (NNs) and several calibration planes whose positions in space are known. Radial basis function (RBF) based- and backpropagation neural networks (BPNNs) are compared for phase-to-depth conversion for phase planes calculated using Fourier transform profilometry (FTP) and phase locked loops (PLLs). Experimental results are presented.

Paper Details

Date Published: 19 November 2003
PDF: 2 pages
Proc. SPIE 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life, (19 November 2003); doi: 10.1117/12.530079
Show Author Affiliations
Dinesh Ganotra, Indian Institute of Technology (India)
Joby Joseph, Indian Institute of Technology (India)
Kehar Singh, Indian Institute of Technology (India)


Published in SPIE Proceedings Vol. 4829:
19th Congress of the International Commission for Optics: Optics for the Quality of Life
Giancarlo C. Righini; Anna Consortini, Editor(s)

© SPIE. Terms of Use
Back to Top