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

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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

1 Downloads (Pure)

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 languageEnglish
Title of host publicationProceedings of 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
PublisherIEEE
Publication date2015
Pages1131-1137
ISBN (Print)9789532330823
DOIs
Publication statusPublished - 2015
EventMIPRO 2015: 38th International Convention on Information and Communication Technology, Electronics and Microelectronics - Grand Hotel Adriatic Convention Centre, Opatija, Croatia
Duration: 25 May 201529 May 2015

Conference

ConferenceMIPRO 2015
LocationGrand Hotel Adriatic Convention Centre
CountryCroatia
CityOpatija
Period25/05/201529/05/2015

Keywords

  • Communication, Networking and Broadcast Technologies
  • Components, Circuits, Devices and Systems
  • Computing and Processing
  • Photonics and Electrooptics
  • Power, Energy and Industry Applications

Fingerprint Dive into the research topics of 'Binary pattern flavored feature extractors for Facial Expression Recognition: An overview'. Together they form a unique fingerprint.

Cite this