NDLI: Towards MPEG4 compatible face representation via hierarchical clustering-based facial feature extraction

Content Provider	IEEE Xplore Digital Library
Author	Ghahari, A. Mosleh, M.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Eng., Sharif University of Technology, Tehran, Iran (Mosleh, M.) \|\| Department of Electrical and Computer Eng. University of Connecticut, Storrs, CT, 06269-2157 USA (Ghahari, A.)
Abstract	Multi-view imaging and display systems has taken a divide and conquer approach to 3D sensing and visualization. We aim to make more reliable and robust automatic feature extraction and natural 3D feature construction from 2D features detected on a pair of frontal and profile view face images. We propose several heuristic algorithms to minimize possible errors introduced by prevalent imperfect orthogonal condition and non-coherent luminance trying to address the problems incurred with illumination discrepancies on common surface points in accommodation of multi-views. In our approach, we first extract the 2D features that are visible to both cameras in both views. Then, we estimate the coordinates of the features in the hidden profile view based on the visible features extracted in the two orthogonal views. After that, based on the coordinates of the extracted features, we deform a 3D generic model to perform the desired deformation based modeling. Finally, the face model is texture-mapped by projecting the input 2D images onto the vertices of the face model. As the reconstructed 3D face model is MPEG4 compliant, it can be readily animated by standard MPEG4 facial animation parameters (FAPs). Present study proves the scope of modeling procedure for real-time applications such as face recognition and performance driven facial animation.
Starting Page	436
Ending Page	441
File Size	1041312
Page Count	6
File Format	PDF
ISBN	9781612846897
e-ISBN	9781612846910
DOI	10.1109/ISCI.2011.5958955
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-20
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deformable models Solid modeling MPEG4 compliant 3D sensing Deformation Feature extraction Three dimensional displays Face Mathematical model Multi-view imaging 2D features Facial features
Content Type	Text
Resource Type	Article

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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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