QUT ePrints

Sparse temporal representations for facial expression recognition

Chew, Sien Wei, Rana, Rajib, Lucey, Patrick J., Lucey, Simon, & Sridharan, Sridha (2011) Sparse temporal representations for facial expression recognition. In Lecture Notes in Computer Science, Springer-Verlag, Gwangju, South Korea.

[img] PDF (404kB)
Administrators only | Request a copy from author

    View at publisher

    Abstract

    In automatic facial expression recognition, an increasing number of techniques had been proposed for in the literature that exploits the temporal nature of facial expressions. As all facial expressions are known to evolve over time, it is crucially important for a classifier to be capable of modelling their dynamics. We establish that the method of sparse representation (SR) classifiers proves to be a suitable candidate for this purpose, and subsequently propose a framework for expression dynamics to be efficiently incorporated into its current formulation. We additionally show that for the SR method to be applied effectively, then a certain threshold on image dimensionality must be enforced (unlike in facial recognition problems). Thirdly, we determined that recognition rates may be significantly influenced by the size of the projection matrix \Phi. To demonstrate these, a battery of experiments had been conducted on the CK+ dataset for the recognition of the seven prototypic expressions - anger, contempt, disgust, fear, happiness, sadness and surprise - and comparisons have been made between the proposed temporal-SR against the static-SR framework and state-of-the-art support vector machine.

    Impact and interest:

    0 citations in Scopus
    Search Google Scholar™
    0 citations in Web of Science®

    Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

    These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

    Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

    ID Code: 46184
    Item Type: Conference Paper
    Additional Information: Published version attached and locked until authors send a n accepted version
    Additional URLs:
    Keywords: automatic facial expression recognition, sparse representation classi�cation, temporal framework
    Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
    Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
    Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
    Past > Institutes > Information Security Institute
    Past > Schools > School of Engineering Systems
    Copyright Owner: Copyright 2011 Springer Verlag
    Deposited On: 28 Sep 2011 08:37
    Last Modified: 18 Jul 2014 13:44

    Export: EndNote | Dublin Core | BibTeX

    Repository Staff Only: item control page