NDLI: Facial expressions reconstruction of 3D faces based on real human data

Content Provider	IEEE Xplore Digital Library
Author	Minoi, J.-L. Jupit, A.J.R. Gillies, D.F. Arnab, S.
Copyright Year	2012
Description	Author affiliation: Department of Computing, Imperial College London, 180 Queen's Gate, SW7 2RH, UK (Gillies, D.F.) \|\| Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia (Minoi, J.-L.; Jupit, A.J.R.) \|\| Serious Game Institute, Coventry University Technology Park, Innovation Village, Cheetah Road, Coventry CV1 2TL, UK (Arnab, S.)
Abstract	This paper presents an approach to reconstruct facial expressions using real data sets of people acquired by three-dimensional (3D) scanners. The acquired raw human face surfaces are pre-processed and a statistical shape model of the human face is built using multivariate statistical approaches. Our idea of using tensor model on the multivariate statistical method is to use all the face features found in the training set, with a variety of facial variations simultaneously by separating them into a number of classes. Point-to-point correspondences between the face surfaces are required in order to do the reconstruction processes. The advantage with the tensor-based multivariate statistical method is that it is practical to generate a variety of face shapes applied in different degrees, which would give a continuous and natural transition between the facial expressions. Our experiments focused on dense correspondence to compute the deformation of facial expressions. We have also used some selected landmark points placed on the face surfaces to compute the deformation of facial expressions. The selected landmark points are based on the Facial Action Coding System (FACS) framework and the movements are analysed according to the motion of the facial features. Besides altering human facial expressions, the presented approach could also be used to neutralise facial expression to aid the performance of face recognition.
Starting Page	185
Ending Page	189
File Size	1712104
Page Count	5
File Format	PDF
ISBN	9781467308915
e-ISBN	9781467308922
DOI	10.1109/CyberneticsCom.2012.6381643
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-12
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surface reconstruction Shape Computational modeling Facial animation Image reconstruction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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