Neural networks applied to measurement of three-dimensional object shapes using phases recovered from Fourier transform profilometry and phase locked loops

被引：0

作者：

Ganotra, D ^{[1
]}

Joseph, J ^{[1
]}

Singh, K ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Phys, Photon Grp, New Delhi 110016, India

来源：

OPTICS FOR THE QUALITY OF LIFE, PTS 1 AND 2 | 2003年 / 4829卷

关键词：

D O I：

10.1117/12.530079

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Calibration infringe 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.

引用

页码：881 / 882

页数：2

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