2020
Journal article  Open Access

Optimizing object decomposition to reduce visual artifacts in 3D printing

Filoscia I., Alderighi T., Giorgi D., Malomo L., Callieri M., Cignoni P.

Mesh geometry models  Shape analysis  Segmentation  Computer Networks and Communications  3d printing 

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.

Source: Computer graphics forum (Print) 39 (2020): 423–434. doi:10.1111/cgf.13941

Publisher: Basil Blackwell Publishers, Oxford , Paesi Bassi



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BibTeX entry
@article{oai:it.cnr:prodotti:431579,
	title = {Optimizing object decomposition to reduce visual artifacts in 3D printing},
	author = {Filoscia I. and Alderighi T. and Giorgi D. and Malomo L. and Callieri M. and Cignoni P.},
	publisher = {Basil Blackwell Publishers, Oxford , Paesi Bassi},
	doi = {10.1111/cgf.13941},
	journal = {Computer graphics forum (Print)},
	volume = {39},
	pages = {423–434},
	year = {2020}
}