NDLI: 3D Face Reconstruction from Single 2D Image Based on Robust Facial Feature Points Extraction and Generic Wire Frame Model

Content Provider	IEEE Xplore Digital Library
Author	Xiaojiu Fan Qiang Peng Ming Zhong
Copyright Year	2010
Abstract	An efficient 3D face reconstruction method for any single 2D facial image even partially damaged or hidden is proposed in this paper. Our purpose is to overcome the shortcomings of traditional methods such as providing at least couple of orthogonal facial images, needing complicated calculations, and so on. Especially, most of the existing methods can’t be used in real-time communication and mobile computing environment, e.g. video transmission systems. Firstly, some facial feature points were extracted by an improved active appearance models, we do some significant work on robust feature point localization when the facial images are not very well for implementation of the AAMs algorithm. Then we adjusted overall and local generic wire frame model using the feature points. Finally we constructed realistic facial texture. Experimental results show that our proposed 3D reconstruction method cost little time to model from a single image and is suitable for real-time and mobile applications.
Starting Page	396
Ending Page	400
File Size	667115
Page Count	5
File Format	PDF
ISBN	9781424463275
e-ISBN	9781424463282
DOI	10.1109/CMC.2010.151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Facial Feature Points Extraction Reconstruction algorithms Active Appearance Models Mobile communication Wire Active appearance model Image reconstruction Couplings 3D Face Reconstruction Robustness Facial features Mobile computing 3D Wire Frame Model
Content Type	Text
Resource Type	Article

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