Welcome to the InfoSci Platform
Reference Hub3
Modification of Happiness Expression in Face Images

Modification of Happiness Expression in Face Images

Dao Nam Anh, Trinh Minh Duc
Copyright: © 2017 |Volume: 6 |Issue: 2 |Pages: 12
ISSN: 1947-928X|EISSN: 1947-9298|EISBN13: 9781522513506|DOI: 10.4018/IJNCR.2017070104
Cite Article Cite Article

MLA

Anh, Dao Nam, and Trinh Minh Duc. "Modification of Happiness Expression in Face Images." IJNCR vol.6, no.2 2017: pp.58-69. http://doi.org/10.4018/IJNCR.2017070104

APA

Anh, D. N. & Duc, T. M. (2017). Modification of Happiness Expression in Face Images. International Journal of Natural Computing Research (IJNCR), 6(2), 58-69. http://doi.org/10.4018/IJNCR.2017070104

Chicago

Anh, Dao Nam, and Trinh Minh Duc. "Modification of Happiness Expression in Face Images," International Journal of Natural Computing Research (IJNCR) 6, no.2: 58-69. http://doi.org/10.4018/IJNCR.2017070104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This article describes how facial expression detection and adjustment in complex psychological aspects of vision is central to a number of visual and cognitive computing applications. This article presents an algorithm for automatically estimating happiness expression of face images whose demographic aspects like race, gender and eye direction are changeable. The method is also broadening for alteration of level of happiness expression for face images. A schema of the weighted modification is proposed for enhancement of happiness expression. The authors employ a robust face representation which combines the color patch similarity and the self-resemblance of image patches. A large set of face images with appearance of the properties is learned in a statistical model for interpreting the facial expression of happiness. The authors will show the experiments of such a model using face features for learning by SVM and analyze the performance.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.