NDLI: Facial Expression Analysis and Synthesis : a Bilinear Approach

Content Provider	IEEE Xplore Digital Library
Author	Jianglong Chang Ying Zheng Zengfu Wang
Copyright Year	2007
Description	Author affiliation: Univ. of Sci. & Technol. of China, Hefei (Jianglong Chang; Ying Zheng; Zengfu Wang)
Abstract	This paper introduces a bilinear model to analyze and transfer expression or identity of 3D faces, and its applications in 3D and 2D areas. Our aim is to separate identity and expression factors of face data into two independent linear subspaces. First all the data are proceeded to have vertex-to-vertex correspondences. We build a morphable face model to transform these dense-vertex data into a low-dimension parameter representation. Based on these parameter vectors denoting special faces, we train a bilinear identity-expression model, which spans training expressions and identities by vectors of only a few dimensions. In 3D applications, we need to estimate the optimal parameters for unknown factor of new shapes first, then change corresponding factor to transact various tasks, such as expression synthesis, expression extraction, expression clone, et al. Furthermore, we recover the 3D shape of a face in a frontal photograph, by a 2D-3D feature-based fitting procedure. Then by changing the expression of 3D shape, we synthesize new images with different expression states of input face, which are used for expression synthesis or identity recognition. The results of experiment show that our work is quite enlightening in applications involved with facial expressions.
Starting Page	457
Ending Page	464
File Size	4572374
Page Count	8
File Format	PDF
ISBN	1424412196
DOI	10.1109/ICIA.2007.4295777
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-08
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Automation Shape Face recognition Cloning Humans Vectors Information analysis bilinear analysis morphable model Lighting expression synthesis Cities and towns
Content Type	Text
Resource Type	Article

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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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