Hamimah, Ujir and Cecilia, Assan and Irwandi Hipni, Mohamad Hipiny and Dayang Nurfatimah, F Awang Iskandar (2015) 3D measures and geometric facial features analysis on 3D facial action unit recognition. Advanced Science Letters, 21 (12). pp. 3703-3707. ISSN 19366612
We constructed a statistical model for variations in facial shape due to differences in 22 facial action units (AUs) using three different 3D measures and geometric facial features as the feature vectors. The three facial features are 3D facial points, 3D facial surface normals and 3D distance measurements. Finally, we apply Support Vector Machines as the classifier and 10-fold cross validation are performed on the Bosphorus database. Using our approach, 3D facial points yields a better performance than 3D facial distance measurements and 3D facial surface normal in 3D Facial AU recognition.
|Uncontrolled Keywords:||3D facial action unit recognition; 3D facial features; Geometric features; Support vector machine, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology|
|Date Deposited:||06 Feb 2017 01:53|
|Last Modified:||06 Feb 2017 01:53|
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