Saliency-Preserving Slicing Optimization for Effective 3D Printing
Weiming Wang, Haiyuan Chao, Jing Tong, Zhouwang Yang, Xin Tong, Hang Li, Xiuping Liu, Ligang Liu
In Computer Graphics Forum, 34(6), 2015.
Abstract: We present an adaptive slicing scheme for reducing the manufacturing time for 3D printing systems. Based on a new saliency-based metric, our method optimizes the thicknesses of slicing layers to save printing time and preserve the visual quality of the printing results. We formulate the problem as a constrained ℓ0 optimization and compute the slicing result via a two-step optimization scheme. To further reduce printing time, we develop a saliency-based segmentation scheme to partition an object into subparts and then optimize the slicing of each subpart separately. We validate our method with a large set of 3D shapes ranging from CAD models to scanned objects. Results show that our method saves printing time by 30–40% and generates 3D objects that are visually similar to the ones printed with the finest resolution possible.
Keyword(s): 3D printing, mesh saliency, adaptive slicing, segmentation, visual quality, I.3.5 [Computer Graphics]: Computer Graphics—Computational Geometry and Object Modelling
Article URL: http://dx.doi.org/10.1111/cgf.12527
BibTeX format:
@article{CGF:CGF12527,
  author = {Weiming Wang and Haiyuan Chao and Jing Tong and Zhouwang Yang and Xin Tong and Hang Li and Xiuping Liu and Ligang Liu},
  title = {Saliency-Preserving Slicing Optimization for Effective 3D Printing},
  journal = {Computer Graphics Forum},
  volume = {34},
  number = {6},
  pages = {148--160},
  year = {2015},
}
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