Dynamic 3-D shape measurement based on de-interlaced images by Fourier transform
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1.
College of Electric and Information Engineering, Pindingshan University, Pingdingshan 467000, China;
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2.
Center of Modern Education Technology, Pindingshan University, Pingdingshan 467000, China
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Received Date:
2013-01-18
Accepted Date:
2013-02-02
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Abstract
In order to eliminate imperfect fringes captured by an interlaced CCD camera when measuring a dynamic object, the Fourier transform de-interlacing algorithm was proposed. The blurring fringe pattern grabbed by the interlaced CCD is divided into two single-field images, each of which is processed into the restored frame image with this algorithm, then their corresponding 3-D shape were reconstructed by means of fringe analysis method. Theoretical analysis shows that the singe-field image disposed by the Fourier transform de-interlacing algorithm is identical with the corresponding exact full frame image. The results of simulation and experiment demonstrate that the imperfect fringe patterns can be restored and real objects can be reconstructed with this method. The method is simple and practical, so it can be applied in 3-D shape measurement for dynamic objects based on spatial phase detection, phase measurement profilometry and Fourier transform profilometry.
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