Saliency‐Preserving Slicing Optimization for Effective 3D Printing |
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Authors: | Weiming Wang Haiyuan Chao Jing Tong Zhouwang Yang Xin Tong Hang Li Xiuping Liu Ligang Liu |
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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 |
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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. |
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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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