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Optimizing object decomposition to reduce visual artifacts in 3D printing

Articolo
Data di Pubblicazione:
2020
Abstract:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Mesh geometry models; Shape analysis; 3d printing; Segmentation
Elenco autori:
Alderighi, Thomas; Filoscia, Irene; Cignoni, Paolo; Callieri, Marco; Giorgi, Daniela; Malomo, Luigi
Autori di Ateneo:
CALLIERI MARCO
CIGNONI PAOLO
GIORGI DANIELA
MALOMO LUIGI
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/378454
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/378454/181093/prod_431579-doc_154329.pdf
Pubblicato in:
COMPUTER GRAPHICS FORUM (PRINT)
Journal
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URL

https://onlinelibrary.wiley.com/doi/full/10.1111/cgf.13941
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