NDLI: 3D active appearance model for aligning faces in 2D images

Content Provider	IEEE Xplore Digital Library
Author	Chun-Wei Chen Chieh-Chih Wang
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei (Chun-Wei Chen)
Abstract	Perceiving human faces is one of the most important functions for human robot interaction. The active appearance model (AAM) is a statistical approach that models the shape and texture of a target object. According to a number of the existing works, AAM has a great success in modeling human faces. Unfortunately, the traditional AAM framework could fail when the face pose changes as only 2D information is used to model a 3D object. To overcome this limitation, we propose a 3D AAM framework in which a 3D shape model and an appearance model are used to model human faces. Instead of choosing a proper weighting constant to balance the contributions from appearance similarity and the constraint on consistent 2D shape with 3D shape in the existing work, our approach directly matches 2D visual faces with the 3D shape model. No balancing weighting between 2D shape and 3D shape is needed. In addition, only frontal faces are needed for training and non-frontal faces can be aligned successfully. The experimental results with 20 subjects demonstrate the effectiveness of the proposed approach.
Starting Page	3133
Ending Page	3139
File Size	863343
Page Count	7
File Format	PDF
ISBN	9781424420575
DOI	10.1109/IROS.2008.4650788
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three dimensional displays Shape Solid modeling Humans Jacobian matrices Robots Fitting
Content Type	Text
Resource Type	Article

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