1 March 2010 Face recognition based on fringe pattern analysis
Author Affiliations +
Optical Engineering, 49(3), 037201 (2010). doi:10.1117/1.3339899
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.
Hong Guo, 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

Fringe analysis

Facial recognition systems

Projection systems

3D image processing

Detection and tracking algorithms

Phase shifts


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