Personalised‐face neutralisation using best‐matched face shape with a neutral‐face database

Author:

Petpairote Chayanut1,Madarasmi Suthep1,Chamnongthai Kosin1

Affiliation:

1. King Mongkut's University of Technology Thonburi126 Pracha‐Uthit Rd., Bangmod, ThungkruBangkokThailand

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Reference42 articles.

1. Face recognition: challenges, achievements and future directions

2. Analysis of face recognition under varying facial expression: a survey;Murtaza M.;Int. Arab J. Inf. Technol.,2013

3. Ahlberg J.: ‘CANDIDE‐3 – an updated parameterized face’. Report No. LiTH‐ISY‐R‐2326 Department of Electrical Engineering Linkoping University Sweden 2001

4. Face recognition based on fitting a 3D morphable model

5. Amberg B. Knothe R. Vetter T.: ‘Expression invariant 3D face recognition with a morphable model’.Eighth IEEE Int. Conf. Automatic Face and Gesture Recognition 2008 pp.1–6

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