Multi-band Modelling of Appearance

Mikkel Bille Stegmann, Rasmus Larsen

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    Earlier work has demonstrated generative models capable of synthesising near photo-realistic grey-scale images of objects. These models have been augmented with colour information, and recently with edge information. This paper extends the Active Appearance Model framework by modelling the appearance of both derived feature bands and an intensity band. As a special case of feature-band augmented appearance modelling we propose a dedicated representation with applications to face segmentation. The representation addresses a major problem within face recognition by lowering the sensitivity to lighting conditions. Results show that localisation accuracy of facial features is considerably increased using this appearance representation under normal and abnormal lighting and at multiple scales.
    Original languageEnglish
    Title of host publicationFirst International Workshop on Generative Model-Based Vision - GMBV
    EditorsArthur Pece, Rasmus Larsen
    PublisherDepartment of Computer Science, University of Copenhagen (DIKU)
    Publication date2002
    Publication statusPublished - 2002
    Event1st International Workshop on Generative-Model-Based Vision - Copenhagen, Denmark
    Duration: 2 Jun 2002 → …
    Conference number: 1


    Conference1st International Workshop on Generative-Model-Based Vision
    Period02/06/2002 → …


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