System for face recognition under expression variations of neutral-sampled individuals using recognized expression warping and a virtual expression-face database

Chayanut Petpairote; Suthep Madarasmi; Kosin Chamnongthai

doi:10.1117/1.JEI.27.1.013014

1 February 2018 System for face recognition under expression variations of neutral-sampled individuals using recognized expression warping and a virtual expression-face database

Chayanut Petpairote, Suthep Madarasmi, Kosin Chamnongthai

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 1, 013014 (February 2018). https://doi.org/10.1117/1.JEI.27.1.013014

Abstract

The practical identification of individuals using facial recognition techniques requires the matching of faces with specific expressions to faces from a neutral face database. A method for facial recognition under varied expressions against neutral face samples of individuals via recognition of expression warping and the use of a virtual expression-face database is proposed. In this method, facial expressions are recognized and the input expression faces are classified into facial expression groups. To aid facial recognition, the virtual expression-face database is sorted into average facial-expression shapes and by coarse- and fine-featured facial textures. Wrinkle information is also employed in classification by using a process of masking to adjust input faces to match the expression-face database. We evaluate the performance of the proposed method using the CMU multi-PIE, Cohn–Kanade, and AR expression-face databases, and we find that it provides significantly improved results in terms of face recognition accuracy compared to conventional methods and is acceptable for facial recognition under expression variation.

Citation Download Citation

Chayanut Petpairote, Suthep Madarasmi, and Kosin Chamnongthai "System for face recognition under expression variations of neutral-sampled individuals using recognized expression warping and a virtual expression-face database," Journal of Electronic Imaging 27(1), 013014 (1 February 2018). https://doi.org/10.1117/1.JEI.27.1.013014

Received: 17 September 2017; Accepted: 3 January 2018; Published: 1 February 2018

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $24.00

Non-members: $28.00 ADD TO CART

JOURNAL ARTICLE
22 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Facial recognition systems

Databases

Image processing

Detection and tracking algorithms

3D modeling

Autoregressive models

Eye

Show All Keywords

Keywords/Phrases

Search In:

Publication Years