Facial expression detection using Six Facial Expressions Hexagon (SFEH) model
Marryam Murtaza, Muhammad Sharif, Musarrat AbdullahYasmin, Tanveer Ahmad · 2019
Within the diverse field of image processing, facial expression detection is tremendously an interesting part of face recognition. In order to track and locate facial expressions unusual parts of face movements like eyes, nose, mouth, cheeks etc must be observed. In this paper, six basic facial expressions are detected using Six Facial Expressions Hexagon (SFEH) Model. The SFEH model provides the general representation of six facial expressions on six edges of surface hexagon (S-Hex). The S-hex is the outer boundary of face and can be classified into three parts as upper triangle, middle rectangle and lower triangle. The partitioning of facial features into three parts narrows down the processing area of face where expression originates and is very helpful to locate the varied region. Moreover, Facial Action Coding System (FACS) and Facial Animation Parameters System (FAPS) are used as intermediate frame to analyze the proposed SFEH model. The scope of the proposed SFEH model is to customize only the varied region of the face using morphological operations under reasonable computational cost.