Evaluating AAM Fitting Methods for Facial Expression Recognition
The human face is a rich source of information for the viewer and facial expressions are a major component in judging a person's affective state, intention and personality. Facial expressions are an important part of human-human interaction and have the potential to play an equally important part in human-computer interaction. This paper evaluates various Active Appearance Model (AAM) fitting methods, including both the original formulation as well as several state-of-the-art methods, for the...[Show more]
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|Source:||An Approach for Automatically Measuring Facial Activity in Depressed Subjects|
|01_Asthana_Evaluating_AAM_Fitting_Methods_2009.pdf||279.19 kB||Adobe PDF||Request a copy|
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