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    Reforming Shapes for Material-aware Fabrication

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    Type
    Article
    Authors
    Yang, Yongliang
    Wang, Jun
    Mitra, Niloy J. cc
    KAUST Department
    Visual Computing Center (VCC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2015-08-10
    Online Publication Date
    2015-08-10
    Print Publication Date
    2015-08
    Permanent link to this record
    http://hdl.handle.net/10754/621412
    
    Metadata
    Show full item record
    Abstract
    © 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. As humans, we regularly associate shape of an object with its built material. In the context of geometric modeling, however, this inter-relation between form and material is rarely explored. In this work, we propose a novel data-driven reforming (i.e.; reshaping) algorithm that adapts an input multi-component model for a target fabrication material. The algorithm adapts both the part geometry and the inter-part topology of the input shape to better align with material-aware fabrication requirements. As output, we produce the reshaped model along with respective part dimensions and inter-part junction specifications. We evaluate our algorithm on a range of man-made models and demonstrate a variety of model reshaping examples focusing only on metal and wooden materials.
    Citation
    Yang Y-L, Wang J, Mitra NJ (2015) Reforming Shapes for Material-aware Fabrication. Computer Graphics Forum 34: 53–64. Available: http://dx.doi.org/10.1111/cgf.12696.
    Sponsors
    We thank the reviewers for their comments and suggestions for improving the paper; Cristina Amati for help with the chair fabrication. This work was supported in part by University of Bath startup fund BA-FS6SYY, KAUST baseline funding, the ERC Starting Grant SmartGeometry (StG-2013-335373), and Marie Curie CIG.
    Publisher
    Wiley
    Journal
    Computer Graphics Forum
    DOI
    10.1111/cgf.12696
    ae974a485f413a2113503eed53cd6c53
    10.1111/cgf.12696
    Scopus Count
    Collections
    Articles; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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