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  1. Book ; Online: Optimal Surface Fitting of Point Clouds Using Local Refinement

    Kermarrec, Gaël / Skytt, Vibeke / Dokken, Tor

    Application to GIS Data

    (SpringerBriefs in Earth System Sciences)

    2023  

    Series title SpringerBriefs in Earth System Sciences
    Keywords Information technology: general issues ; Geography ; Numerical analysis ; Mathematical & statistical software ; Surface Modeling ; Optimum Point Cloud Approximation ; Akaike Information Criterion ; LR B-Splines ; Contour Curves Determination ; Deformation Analysis ; Bathymetry data
    Language English
    Size 1 electronic resource (111 pages)
    Publisher Springer Nature
    Publishing place Cham
    Document type Book ; Online
    Note English
    HBZ-ID HT030382280
    ISBN 9783031169540 ; 3031169549
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Book ; Online: Optimal Surface Fitting of Point Clouds Using Local Refinement

    Kermarrec, Gaël / Skytt, Vibeke / Dokken, Tor

    Application to GIS Data

    (SpringerBriefs in Earth System Sciences)

    2023  

    Author's details by Gaël Kermarrec, Vibeke Skytt, Tor Dokken
    Series title SpringerBriefs in Earth System Sciences
    Keywords Geographic information systems ; Mathematics—Data processing ; Mathematical statistics—Data processing
    Subject code 910.285
    Language English
    Size 1 Online-Ressource (XIX, 111 p. 61 illus., 59 illus. in color)
    Edition 1st ed. 2023
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online
    HBZ-ID HT021680323
    ISBN 978-3-031-16954-0 ; 9783031169533 ; 9783031169557 ; 3-031-16954-9 ; 3031169530 ; 3031169557
    DOI 10.1007/978-3-031-16954-0
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Article ; Online: LR B-splines to approximate bathymetry datasets: An improved statistical criterion to judge the goodness of fit

    Skytt, Vibeke / Kermarrec, Gaël / Dokken, Tor

    International Journal of Applied Earth Observation and Geoinformation. 2022 Aug., v. 112 p.102894-

    2022  

    Abstract: The task of representing remotely sensed scattered point clouds with mathematical surfaces is ubiquitous to reduce a high number of observations to a compact description with as few coefficients as possible. To reach that goal, locally refined B-splines ... ...

    Abstract The task of representing remotely sensed scattered point clouds with mathematical surfaces is ubiquitous to reduce a high number of observations to a compact description with as few coefficients as possible. To reach that goal, locally refined B-splines provide a simple framework to perform surface approximation by allowing an iterative local refinement. Different setups exist (bidegree of the splines, tolerance, refinement strategies) and the choice is often made heuristically, depending on the applications and observations at hand. In this article, we introduce a statistical information criterion based on the t-distribution to judge the goodness of fit of the surface approximation for remote sensing data with outliers. We use a real bathymetry dataset and illustrate how concepts from model selection can be used to select the most adequate refinement strategy of the LR B-splines.
    Keywords data collection ; journals ; models ; objectives ; remote sensing ; spatial data ; surfaces ; LR B-splines ; Information criteria ; AIC ; Surface fitting ; Optimality ; Bathymetry dataset ; T-distribution ; Full span refinement strategy
    Language English
    Dates of publication 2022-08
    Publishing place Elsevier B.V.
    Document type Article ; Online
    Note Use and reproduction
    ISSN 1569-8432
    DOI 10.1016/j.jag.2022.102894
    Database NAL-Catalogue (AGRICOLA)

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    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

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  4. Book ; Online: Parametric shape optimization for combined additive-subtractive manufacturing

    Altenhofen, Christian / Attene, Marco / Barrowclough, Oliver / Chiumenti, Michele / Livesu, Marco / Marini, Federico / Martinelli, Massimiliano / Skytt, Vibeke / Tamellini, Lorenzo

    2019  

    Abstract: In the industrial practice, additive manufacturing processes are often followed by post-processing operations such as subtractive machining, milling, etc. to achieve the desired surface quality and dimensional accuracy. Hence, a given part must be 3D ... ...

    Abstract In the industrial practice, additive manufacturing processes are often followed by post-processing operations such as subtractive machining, milling, etc. to achieve the desired surface quality and dimensional accuracy. Hence, a given part must be 3D printed with extra material to enable such finishing phase. This combined additive/subtractive technique can be optimized to reduce manufacturing costs by saving printing time and reducing material and energy usage. In this work, a numerical methodology based on parametric shape optimization is proposed for optimizing the thickness of the extra material, allowing for minimal machining operations while ensuring the finishing requirements. Moreover, the proposed approach is complemented by a novel algorithm for generating inner structures leading to reduced distortion and improved weight reduction. The computational effort induced by classical constrained optimization methods is alleviated by replacing both the objective and constraint functions by their sparse-grid surrogates. Numerical results showcase the effectiveness of the proposed approach.

    Comment: second version: fixed a problem with pdf conversion that would make Table 1 overlap with text. Added header with page number
    Keywords Computer Science - Computational Engineering ; Finance ; and Science ; Electrical Engineering and Systems Science - Systems and Control ; Mathematics - Optimization and Control
    Subject code 670
    Publishing date 2019-06-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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