Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only

Akshay Asthana, Asim Khwaja, Roland Goecke

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    8 Citations (Scopus)

    Abstract

    In recent years, statistically motivated approaches for the registration and tracking of non-rigid objects, such as the Active Appearance Model (AAM), have become very popular. A major drawback of these approaches is that they require manual annotation of all training images which can be tedious and error prone. In this paper, a MPEG-4 based approach for the automatic annotation of frontal face images, having any arbitrary facial expression, from a single annotated frontal image is presented. This approach utilises the MPEG-4 based facial animation system to generate virtual images having different expressions and uses the existing AAM framework to automatically annotate unseen images. The approach demonstrates an excellent generalisability by automatically annotating face images from two different databases
    Original languageEnglish
    Title of host publicationProceedings of the 16th IEEE International Conference on Image Processing (ICIP) 2009
    EditorsMagdy Bayoumi
    Place of PublicationEgypt
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages2445-2448
    Number of pages4
    Volume1
    ISBN (Print)9781424456543
    DOIs
    Publication statusPublished - 2009
    Event16th International Conference on Image Processing (ICIP), 2009 - Cairo, Egypt
    Duration: 7 Nov 200910 Nov 2009

    Conference

    Conference16th International Conference on Image Processing (ICIP), 2009
    CountryEgypt
    CityCairo
    Period7/11/0910/11/09

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    Asthana, A., Khwaja, A., & Goecke, R. (2009). Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only. In M. Bayoumi (Ed.), Proceedings of the 16th IEEE International Conference on Image Processing (ICIP) 2009 (Vol. 1, pp. 2445-2448). Egypt: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIP.2009.5414123
    Asthana, Akshay ; Khwaja, Asim ; Goecke, Roland. / Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only. Proceedings of the 16th IEEE International Conference on Image Processing (ICIP) 2009. editor / Magdy Bayoumi. Vol. 1 Egypt : IEEE, Institute of Electrical and Electronics Engineers, 2009. pp. 2445-2448
    @inproceedings{f26282aded8d465281e540286ec469dd,
    title = "Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only",
    abstract = "In recent years, statistically motivated approaches for the registration and tracking of non-rigid objects, such as the Active Appearance Model (AAM), have become very popular. A major drawback of these approaches is that they require manual annotation of all training images which can be tedious and error prone. In this paper, a MPEG-4 based approach for the automatic annotation of frontal face images, having any arbitrary facial expression, from a single annotated frontal image is presented. This approach utilises the MPEG-4 based facial animation system to generate virtual images having different expressions and uses the existing AAM framework to automatically annotate unseen images. The approach demonstrates an excellent generalisability by automatically annotating face images from two different databases",
    author = "Akshay Asthana and Asim Khwaja and Roland Goecke",
    year = "2009",
    doi = "10.1109/ICIP.2009.5414123",
    language = "English",
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    Asthana, A, Khwaja, A & Goecke, R 2009, Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only. in M Bayoumi (ed.), Proceedings of the 16th IEEE International Conference on Image Processing (ICIP) 2009. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Egypt, pp. 2445-2448, 16th International Conference on Image Processing (ICIP), 2009, Cairo, Egypt, 7/11/09. https://doi.org/10.1109/ICIP.2009.5414123

    Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only. / Asthana, Akshay; Khwaja, Asim; Goecke, Roland.

    Proceedings of the 16th IEEE International Conference on Image Processing (ICIP) 2009. ed. / Magdy Bayoumi. Vol. 1 Egypt : IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 2445-2448.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    N2 - In recent years, statistically motivated approaches for the registration and tracking of non-rigid objects, such as the Active Appearance Model (AAM), have become very popular. A major drawback of these approaches is that they require manual annotation of all training images which can be tedious and error prone. In this paper, a MPEG-4 based approach for the automatic annotation of frontal face images, having any arbitrary facial expression, from a single annotated frontal image is presented. This approach utilises the MPEG-4 based facial animation system to generate virtual images having different expressions and uses the existing AAM framework to automatically annotate unseen images. The approach demonstrates an excellent generalisability by automatically annotating face images from two different databases

    AB - In recent years, statistically motivated approaches for the registration and tracking of non-rigid objects, such as the Active Appearance Model (AAM), have become very popular. A major drawback of these approaches is that they require manual annotation of all training images which can be tedious and error prone. In this paper, a MPEG-4 based approach for the automatic annotation of frontal face images, having any arbitrary facial expression, from a single annotated frontal image is presented. This approach utilises the MPEG-4 based facial animation system to generate virtual images having different expressions and uses the existing AAM framework to automatically annotate unseen images. The approach demonstrates an excellent generalisability by automatically annotating face images from two different databases

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    Asthana A, Khwaja A, Goecke R. Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only. In Bayoumi M, editor, Proceedings of the 16th IEEE International Conference on Image Processing (ICIP) 2009. Vol. 1. Egypt: IEEE, Institute of Electrical and Electronics Engineers. 2009. p. 2445-2448 https://doi.org/10.1109/ICIP.2009.5414123