This work proposes a method for recognizing the main 13 Facial Action Units and the 6 basic emotions. The methodologies rely on Differential Geometry to extract relevant discriminant features from the query faces, and on some linear quantities used as measures: Euclidean, geodesic, and angles between 17 automatically extracted soft-tissue landmarks. A thresholding system which evaluates local properties of connected regions, selected through tailored geometrical descriptors, supports the identification of the AUs. Then, a technique based on crisp logic allows the identification of the global expression. The three-dimensional context has been preferred due to its invariance to different lightening/make-up/camouflage conditions.

3D Facial Action Units and Expression Recognition using a Crisp Logic / Tornincasa, Stefano; Vezzetti, Enrico; Moos, Sandro; Violante, Maria Grazia; Marcolin, Federica; Dagnes, Nicole; Ulrich, Luca; Fantini Tregnaghi, Giorgio. - In: COMPUTER-AIDED DESIGN AND APPLICATIONS. - ISSN 1686-4360. - 16:2(2019). [10.14733/cadaps.2019.256-268]

3D Facial Action Units and Expression Recognition using a Crisp Logic

Tornincasa, Stefano;Vezzetti, Enrico;Moos, Sandro;Violante, Maria Grazia;Marcolin, Federica;Dagnes, Nicole;Ulrich, Luca;
2019

Abstract

This work proposes a method for recognizing the main 13 Facial Action Units and the 6 basic emotions. The methodologies rely on Differential Geometry to extract relevant discriminant features from the query faces, and on some linear quantities used as measures: Euclidean, geodesic, and angles between 17 automatically extracted soft-tissue landmarks. A thresholding system which evaluates local properties of connected regions, selected through tailored geometrical descriptors, supports the identification of the AUs. Then, a technique based on crisp logic allows the identification of the global expression. The three-dimensional context has been preferred due to its invariance to different lightening/make-up/camouflage conditions.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2712112