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3D object reconstruction from multiple controlled viewpoints

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    To reconstruct the complete model of a 3D target by robot vision, multiple viewpoints often need to be planned to obtain sufficient 3D surfaces for integration. This paper presents a novel method of viewpoint planning for incrementally building the models of unknown objects or environments by an active vision system. This method is based on the concept of trend surface, which is the regional feature of a surface for describing the global tendency of change. A new mathematical model is proposed for predicting the unknown area of the object surface. A criterion is defined to determine the exploration direction and a unique surface model is established by analyzing the surface curvature. Then an algorithm is developed for determining the sensor pose which satisfies the many placement constraints such as resolution, focus, and field of view. Experiments are carried out to demonstrate the proposed method.
    Original languageEnglish
    Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
    Pages4645-4649
    Volume5
    Publication statusPublished - 2004
    Event5th World Congress on Intelligent Control and Automation, WCICA 2004 - Hangzhou, China
    Duration: 15 Jun 200419 Jun 2004

    Publication series

    Name
    Volume5

    Conference

    Conference5th World Congress on Intelligent Control and Automation, WCICA 2004
    Abbreviated titleWCICA 2004
    PlaceChina
    CityHangzhou
    Period15/06/0419/06/04

    Research Keywords

    • 3D modeling
    • Object reconstruction
    • Sensor planning
    • Surface prediction
    • Trend surface
    • Viewpoint

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