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Saliency‐Preserving Slicing Optimization for Effective 3D Printing
Authors:Weiming Wang  Haiyuan Chao  Jing Tong  Zhouwang Yang  Xin Tong  Hang Li  Xiuping Liu  Ligang Liu
Affiliation:1. Dalian University of Technology, Dalian, China;2. Hohai University, Changzhou, China;3. University of Sciences and Technology of China, Hefei, China;4. Microsoft Research Asia, Beijing, China
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 ?0 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.
Keywords:3D printing  mesh saliency  adaptive slicing  segmentation  visual quality  I  3  5 [Computer Graphics]: Computer Graphics—  Computational Geometry and Object Modelling
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