Please use this identifier to cite or link to this item:
Title: Human facial expression recognition using a 3D morphable model
Authors: Ramanathan, S. 
Kassim, A. 
Venkatesh, Y.V. 
Wah, W.S. 
Keywords: Clustering methods
Facial expression classification
Morphable expression model
Pattern recognition
Issue Date: 2006
Citation: Ramanathan, S.,Kassim, A.,Venkatesh, Y.V.,Wah, W.S. (2006). Human facial expression recognition using a 3D morphable model. Proceedings - International Conference on Image Processing, ICIP : 661-664. ScholarBank@NUS Repository.
Abstract: We propose a novel approach to the detection and classification of human facial expressions using a morphable 3D model. We acquire the various expressions of an individual using a face scanner that produces textured 3D meshes using stereoscopic reconstruction. A Morphable Expression Model (MEM), that incorporates emotion-dependentface variations in terms of morphing parameters, is then computed by establishing correspondence among the emotive faces. These morphing parameters are used for emotion recognition and classification. We demonstrate that the different facial expressions correspond to distinct clusters in the expression space. ©2006 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
ISBN: 1424404819
ISSN: 15224880
DOI: 10.1109/ICIP.2006.312417
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Oct 18, 2020

Page view(s)

checked on Oct 5, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.