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Reforming Shapes for Material‐aware Fabrication
Author(s) -
Yang YongLiang,
Wang Jun,
Mitra Niloy J.
Publication year - 2015
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12696
Subject(s) - computer science , fabrication , context (archaeology) , geometric modeling , component (thermodynamics) , object (grammar) , characterization (materials science) , relation (database) , variety (cybernetics) , topology (electrical circuits) , engineering drawing , mechanical engineering , artificial intelligence , nanotechnology , engineering , materials science , data mining , medicine , paleontology , physics , alternative medicine , electrical engineering , pathology , biology , thermodynamics
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.