SRICP: An Algorithm for Matching Semi-rigid 3D Surfaces

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    Abstract

    The Iterative Closest Point (ICP) algorithm can accurately register and match 3D rigid surfaces. However, when it comes to non-rigid or semi-rigid surfaces such as the human face, the performance of ICP drops significantly. In this paper, we extend the ICP algorithm and propose a Semi-Rigid ICP algorithm which can match and register semi-rigid surfaces. We compare the performance of SRICP and ICP algorithms in a challenging scenario whereby 3D faces under exaggerated facial expressions are matched to 3D faces under neutral expression for recognition. Our results show that the proposed
    SRICP algorithm performs significantly better than the original ICP algorithm.
    Original languageEnglish
    Title of host publicationProceedings Image and Vision Computing, New Zealand 2006
    EditorsPatrice Delmas, John Morris
    Place of PublicationNew Zealand
    PublisherImage & Vision Computing, New Zealand
    Pages257-262
    ISBN (Print)9780473117924
    Publication statusPublished - 2006
    EventSRICP: An Algorithm for Matching Semi-rigid 3D Surfaces - Great Barrier Island, N.Z.
    Duration: 1 Jan 2006 → …

    Conference

    ConferenceSRICP: An Algorithm for Matching Semi-rigid 3D Surfaces
    Period1/01/06 → …

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