Real-time face pose estimation

S.J. McKenna, S. Gong

    Research output: Contribution to journalArticlepeer-review

    61 Citations (Scopus)


    Methods were investigated for estimating the poses of human faces undergoing large rotations in depth. Dimensionality reduction using principal components analysis enabled pose changes to be visualised as manifolds in low-dimensional subspaces and provided a useful mechanism for investigating these changes. Appearance-based matching using Gabor wavelets was developed for real-time face tracking and pose estimation. A real-time Gabor wavelet projection was implemented using a Datacube MaxVideo 250 whilst an alternative system for real-time pose estimation used only standard PC hardware.
    Original languageEnglish
    Pages (from-to)333-347
    Number of pages15
    JournalReal-Time Imaging
    Issue number5
    Publication statusPublished - 1 Jan 1998


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