Estimation of Layered Ink Layout to reproduce desired Translucency of skin in Inkjet 3D Printer using deep neural network trained with synthetic simulated data
Abstract:In this paper, we propose a method to estimate ink layer layout used as an input for 3D printer. This method makes it possible to reproduce a 3D printed patch that gives a desired translucency, which is represented as Line Spread Function (LSF) in this study. Deep neural networks of
encoder decoder model is used for the estimation. In a previous research, it is reported that machine learning method is effective to formulate the complex relationship between the optical property such as LSF and the ink layer la… Show more
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