For face landmark, people used linear model recognition and principle component analysis (PCA). To find whether the model is fitting, superquadrics was used with the value E which is the difference between rectangular and ellipse.

Keywords:

Image Analysis; Face landmark; Principle component analysis; DT-MRI

Lecture #10774

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