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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1074

Title: Profilometry for the measurement of three-dimensional object shape using radial basis function, and multi-layer perceptron neural networks
Authors: Ganotra, Dinesh
Joseph, Joby
Singh, Kehar
Keywords: Neural networks
Profilometry
3-D shape measurement
Phase measurement
Issue Date: 2002
Citation: Optics Communications, 209(4-6), 291-301
Abstract: Neural networks have been used to carryout calibration process in fringe projection profilometry for the measurement of three-dimensional object shape. The calibration procedure uses several calibration planes whose positions in space are known. Radial basis function based networks and multi-layer perceptron networks are investigated for the phase recovery. Preliminary studies are also presented for the direct reconstruction of the object without the use of the intermediate step of phase plane calculations. Experimental results are presented for diffuse objects.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/1074
Appears in Collections:Physics

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