Micro-Facial Movements: An Investigation on Spatio-Temporal Descriptors

Adrian K. Davison, Moi Hoon Yap, Nicholas Costen, Kevin Tan, Cliff Lansley, Daniel Leightley

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper aims to investigate whether micro-facial movement sequences can be distinguished from neutral face sequences. As a micro-facial movement tends to be very quick and subtle, classifying when a movement occurs compared to the face without movement can be a challenging computer vision problem. Using local binary patterns on three orthogonal planes and Gaussian derivatives, local features, when interpreted by machine learning algorithms, can accurately describe when a movement and non-movement occurs. This method can then be applied to help aid humans in detecting when the small movements occur. This also differs from current literature as most only concentrate in emotional expression recognition. Using the CASME II dataset, the results from the investigation of different descriptors have shown a higher accuracy compared to state-of-the-art methods.
Original languageEnglish
Title of host publication ECCV 2014 Workshops
PublisherSpringer Nature
Number of pages12
ISBN (Electronic)978-3-319-16181-5
ISBN (Print)978-3-319-16180-8
Publication statusPublished - 20 Mar 2015

Publication series

NameLecture Notes in Computer Science


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