Open AccessFeature Detection and Simplification of 3D Face Data with Facial Expressions
Author(s) -
Kim YongGuk,
Kim HyeonJoong,
Choi InHo,
Kim JinSeo,
Choi SooMi
Publication year - 2012
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.12.0212.0112
Subject(s) - artificial intelligence , feature (linguistics) , face (sociological concept) , pattern recognition (psychology) , computer science , computer vision , facial expression , face hallucination , face detection , facial recognition system , social science , philosophy , linguistics , sociology
We propose an efficient framework to realistically render 3D faces with a reduced set of points. First, a robust active appearance model is presented to detect facial features in the projected faces under different illumination conditions. Then, an adaptive simplification of 3D faces is proposed to reduce the number of points, yet preserve the detected facial features. Finally, the point model is rendered directly, without such additional processing as parameterization of skin texture. This fully automatic framework is very effective in rendering massive facial data on mobile devices.