Binary pattern flavored feature extractors for Facial Expression Recognition: An overview

Author

Kristensen, Rasmus Lyngby ; Zheng-Hua Tan ; Zhanyu Ma ; Jun Guo

Author_Institution

Sect. of Image Anal. & Comput. Graphics, Tech. Univ. of Denmark, Lyngby, Denmark

fYear

2015

fDate

25-29 May 2015

Firstpage

1131

Lastpage

1137

Abstract

This paper conducts a survey of modern binary pattern flavored feature extractors applied to the Facial Expression Recognition (FER) problem. In total, 26 different feature extractors are included, of which six are selected for in depth description. In addition, the paper unifies important FER terminology, describes open challenges, and provides recommendations to scientific evaluation of FER systems. Lastly, it studies the facial expression recognition accuracy and blur invariance of the Local Frequency Descriptor. The paper seeks to bring together disjointed studies, and the main contribution is to provide a solid overview for future research.

Keywords

face recognition; feature extraction; image restoration; FER; binary pattern flavored feature extractors; blur invariance; disjointed studies; facial expression recognition; local frequency descriptor; scientific evaluation; Accuracy; Databases; Face; Face recognition; Feature extraction; Gold; Three-dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on

Conference_Location

Opatija

Type

conf

DOI

10.1109/MIPRO.2015.7160445

Filename

7160445