We present a method to generate three-dimensional building hypotheses starting from sparse features, hypothesized building corners, extracted from multiple views of the scene. This technique relies on knowledge about the imaging geometry and acquisition parameters to provide rigorous geometric constraints for the matching process. The effectiveness of this approach is demonstrated using complex aerial imagery taken with highly oblique views containing buildings with flat or peaked roofs.<>


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    Title :

    Feature matching for building extraction from multiple views


    Contributors:
    Roux (author) / McKeown (author)


    Publication date :

    1994-01-01


    Size :

    794039 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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