Face recognition based on fringe pattern analysis

Hong Guo; Peisen S. Huang

doi:10.1117/1.3339899

1 March 2010 Face recognition based on fringe pattern analysis

Hong Guo, Peisen S. Huang

Author Affiliations +

Optical Engineering, Vol. 49, Issue 3, 037201 (March 2010). https://doi.org/10.1117/1.3339899

Abstract

Two-dimensional face-recognition techniques suffer from facial texture and illumination variations. Although 3-D techniques can overcome these limitations, the reconstruction and storage expenses of 3-D information are extremely high. We present a novel face-recognition method that directly utilizes 3-D information encoded in face fringe patterns without having to reconstruct 3-D geometry. In the proposed method, a digital video projector is employed to sequentially project three phase-shifted sinusoidal fringe patterns onto the subject's face. Meanwhile, a camera is used to capture the distorted fringe patterns from an offset angle. Afterward, the face fringe images are analyzed by the phase-shifting method and the Fourier transform method to obtain a spectral representation of the 3-D face. Finally, the eigenface algorithm is applied to the face-spectrum images to perform face recognition. Simulation and experimental results demonstrate that the proposed method achieved satisfactory recognition rates with reduced computational complexity and storage expenses.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Hong Guo and Peisen S. Huang "Face recognition based on fringe pattern analysis," Optical Engineering 49(3), 037201 (1 March 2010). https://doi.org/10.1117/1.3339899

Published: 1 March 2010

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