Skip to content
University of Maryland LibrariesDigital Repository at the University of Maryland
    • Login
    View Item 
    •   DRUM
    • A. James Clark School of Engineering
    • Institute for Systems Research Technical Reports
    • View Item
    •   DRUM
    • A. James Clark School of Engineering
    • Institute for Systems Research Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Survey of Automated Feature Recognition Techniques

    Thumbnail
    View/Open
    TR_92-18.pdf (685.9Kb)
    No. of downloads: 696

    Date
    1992
    Author
    Regli, W.C.
    Metadata
    Show full item record
    Abstract
    Automated feature recognition has been attempted through many methodologies for a wide range of application domains. This survey focuses on its use for geometric reasoning problems in mechanical engineering. Many of these methods are greatly limited in scope. Often they perform on a restricted class of objects with confining feature definitions. Furthermore, problems with interactions between features can render objects unrecognizable. This survey presents an overview of many of the works in this area. Included are descriptions of the approaches and an analysis of their abilities to provide a definition for and solution to the general problem of recognizing features from a solid model. It is hoped that previous research will provide the guidance for the development of a feature recognition system that is complete over a mathematically definable set of objects.
    URI
    http://hdl.handle.net/1903/5200
    Collections
    • Institute for Systems Research Technical Reports

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility
     

     

    Browse

    All of DRUMCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister
    Pages
    About DRUMAbout Download Statistics

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility