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3D Face Recognition Algorithm
Overview of the 3D algorithm
1. Preprocessing: Reconstruct a 3D mesh of the face from the 3D camera
2. Model Fitting: Fit a parametric, annotated face model (AFM) to the mesh using a deformable model framework with additional anthropometric constraints
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Parametrized, Annotated Face Model |
Fitted AFM |
3. Parametric Deformation Image: Use the parameterization
of the fitted AFM to generate a three-channel
deformation image of the face by encoding its geometry. The XYZ displacement is represented as RGB colors in the image below.
4. Metadata Extraction: Compress
the deformation image using a wavelet transform
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