Integrating prior knowledge and structure from motion

Nicolas Guilbert, Henrik Aanæs, Rasmus Larsen

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    Abstract

    A new approach for formulating prior knowledge in structure form motion is presented, where the structure is viewed as a 3D stochastic variable, hereby priors are more naturally expressed. It is demonstrated that this formulation is efficient for regularizing structure reconstruction via prior knowledge. Specifically algorithms for imposing priors in the proposed formulation are presented.
    Original languageEnglish
    Title of host publicationProceedings of the Scandinavian Image Analysis - SCIA'01
    EditorsIvar Austvoll
    Publication date2001
    Pages477-481
    Publication statusPublished - 2001
    EventProceedings of the Scandinavian Image Analysis - SCIA'01 -
    Duration: 1 Jan 2001 → …

    Conference

    ConferenceProceedings of the Scandinavian Image Analysis - SCIA'01
    Period01/01/2001 → …

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