Binary Pattern Flavored Feature Extractors for Facial Expression Recognition: An Overview

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

doi:10.1109/MIPRO.2015.7160445

Binary Pattern Flavored Feature Extractors for Facial Expression Recognition: An Overview

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

Department of Electronic Systems

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015
Publisher	IEEE Press
Publication date	2015
Pages	1131 - 1137
ISBN (Print)	9781479981748
DOIs	https://doi.org/10.1109/MIPRO.2015.7160445
Publication status	Published - 2015
Event	CIS-MIPRO 2015 - Opatija, Croatia Duration: 25 May 2015 → 29 May 2015 Conference number: 38 http://www.mipro.hr/MIPRO2015.CIS/ELink.aspx

Conference

Conference	CIS-MIPRO 2015
Number	38
Country/Territory	Croatia
City	Opatija
Period	25/05/2015 → 29/05/2015
Internet address	http://www.mipro.hr/MIPRO2015.CIS/ELink.aspx

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10.1109/MIPRO.2015.7160445

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@inproceedings{add76155fd324bc1b0282d2780160123,

title = "Binary Pattern Flavored Feature Extractors for Facial Expression Recognition: An Overview",

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.",

author = "{Lyngby Kristensen}, Rasmus and Zheng-Hua Tan and Zhanyu Ma and Jun Guo",

year = "2015",

doi = "10.1109/MIPRO.2015.7160445",

language = "English",

isbn = "9781479981748",

pages = "1131 -- 1137",

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

publisher = "IEEE Press",

note = "CIS-MIPRO 2015 ; Conference date: 25-05-2015 Through 29-05-2015",

url = "http://www.mipro.hr/MIPRO2015.CIS/ELink.aspx",

}

Lyngby Kristensen, R, Tan, Z-H, Ma, Z & Guo, J 2015, Binary Pattern Flavored Feature Extractors for Facial Expression Recognition: An Overview. in 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015. IEEE Press, pp. 1131 - 1137, CIS-MIPRO 2015, Opatija, Croatia, 25/05/2015. https://doi.org/10.1109/MIPRO.2015.7160445

Binary Pattern Flavored Feature Extractors for Facial Expression Recognition: An Overview. / Lyngby Kristensen, Rasmus; Tan, Zheng-Hua; Ma, Zhanyu et al.
38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015. IEEE Press, 2015. p. 1131 - 1137.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Binary Pattern Flavored Feature Extractors for Facial Expression Recognition

T2 - CIS-MIPRO 2015

AU - Lyngby Kristensen, Rasmus

AU - Tan, Zheng-Hua

AU - Ma, Zhanyu

AU - Guo, Jun

N1 - Conference code: 38

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

U2 - 10.1109/MIPRO.2015.7160445

DO - 10.1109/MIPRO.2015.7160445

M3 - Article in proceeding

SN - 9781479981748

SP - 1131

EP - 1137

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

PB - IEEE Press

Y2 - 25 May 2015 through 29 May 2015

ER -

Binary Pattern Flavored Feature Extractors for Facial Expression Recognition: An Overview

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