Face Model Fitting with Generic, Group-Specific, and Person-Specific Objective Functions
نویسندگان
چکیده
In model-based fitting, the model parameters that best fit the image are determined by searching for the optimum of an objective function. Often, this function is designed manually, based on implicit and domaindependent knowledge. We acquire more robust objective function by learning them from annotated images, in which many critical decisions are automated, and the remaining manual steps do not require domain knowl-
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