Micro-expression recognition using apex frame with phase information

Sze Teng Liong, Kok Sheik Wong

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

39 Citations (Scopus)

Abstract

Micro-expression, which is an uncontrollable expression provoked involuntary and spontaneously, can reveal one's concealed genuine feelings. In recent years, the analysis of micro-expression is attracting more and more attention in the field of computer vision. Yet, not many papers are published, potentially due to its micro and subtle nature that lead to a major challenge in developing an efficient automated micro-expression recognition system. Almost all conventional works focus on extracting the micro-expression features from the entire or selected part of the video sequence. Researchers then proposed to represent a micro-expression video sequence by using only two frames, viz., onset and apex, with slight trade-off with performance.

Original languageEnglish
Title of host publicationProceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
EditorsChang-Su Kim, Wai Lam Hoo
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages534-537
Number of pages4
ISBN (Electronic)9781538615423, 9781538615416
ISBN (Print)9781538615430
DOIs
Publication statusPublished - 2017
EventAnnual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2017 - Kuala Lumpur, Malaysia
Duration: 12 Dec 201715 Dec 2017
Conference number: 9th
https://ieeexplore.ieee.org/xpl/conhome/8270695/proceeding (Proceedings)

Conference

ConferenceAnnual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2017
Abbreviated titleAPSIPA ASC 2017
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/12/1715/12/17
Internet address

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