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Optimizing Object Decomposition to Reduce Visual Artifacts in 3D Printing
Author(s) -
Filoscia I.,
Alderighi T.,
Giorgi D.,
Malomo L.,
Callieri M.,
Cigi P.
Publication year - 2020
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.13941
Subject(s) - computer science , computer vision , segmentation , object (grammar) , artificial intelligence , 3d printing , orientation (vector space) , planar , decomposition , computer graphics (images) , mathematics , engineering , geometry , ecology , mechanical engineering , biology
We propose a method for the automatic segmentation of 3D objects into parts which can be individually 3D printed and then reassembled by preserving the visual quality of the final object. Our technique focuses on minimizing the surface affected by supports, decomposing the object into multiple parts whose printing orientation is automatically chosen. The segmentation reduces the visual impact on the fabricated model producing non‐planar cuts that adapt to the object shape. This is performed by solving an optimization problem that balances the effects of supports and cuts, while trying to place both in occluded regions of the object surface. To assess the practical impact of the solution, we show a number of segmented, 3D printed and reassembled objects.