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        Pipeline Extraction

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        Thesis.pdf (6.534Mb)
        Publication date
        2016
        Author
        Dieren, J. van
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        Summary
        In this thesis we present an algorithm that detects and models pipelines in 3-dimensional point clouds. The algorithm starts from a user provided seed and alternates between model building and primitive detection as it tracks the pipeline. The algorithm does not require preprocessing such as registration or subsampling. When provided with a suitable seed and search area size the algorithm produces good models.
        URI
        https://studenttheses.uu.nl/handle/20.500.12932/22814
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