Regression based automatic face annotation for deformable model building
A major drawback of statistical models of non-rigid, deformable objects, such as the active appearance model (AAM), is the required pseudo-dense annotation of landmark points for every training image. We propose a regression-based approach for automatic annotation of face images at arbitrary pose and expression, and for deformable model building using only the annotated frontal images. We pose the problem of learning the pattern of manual annotation as a data-driven regression problem and...[Show more]
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