Principal component analysis based carrier removal approach for Fourier transform profilometry

Shijie Feng; Qian Chen; Chao Zuo

doi:10.1117/12.2182953

22 June 2015 Principal component analysis based carrier removal approach for Fourier transform profilometry

Shijie Feng, Qian Chen, Chao Zuo

Proceedings Volume 9525, Optical Measurement Systems for Industrial Inspection IX; 95252E (2015) https://doi.org/10.1117/12.2182953
Event: SPIE Optical Metrology, 2015, Munich, Germany

Abstract

To handle the issue of the nonlinear carrier phase due to the divergent illumination commonly adopted in the fringe projection measurement, we propose a principal component analysis (PCA) based carrier removal method for Fourier transform profilometry. By PCA, the method can decompose the nonlinear carrier phase map into several principal components, where the phase of the carrier can be extracted from the first dominant component acquired. It is effective and requires less human intervention since no data points need to be collected from the reference plane in advance compared with traditional methods. Further, the influence of the lens distortion is considered thus the carrier can be determined more accurately. Our experiment shows the validity of the proposed approach.

Citation Download Citation

Shijie Feng, Qian Chen, and Chao Zuo "Principal component analysis based carrier removal approach for Fourier transform profilometry", Proc. SPIE 9525, Optical Measurement Systems for Industrial Inspection IX, 95252E (22 June 2015); https://doi.org/10.1117/12.2182953

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