Porous Model Design Using Artificial Neural Network

被引：0
|
作者：
Shen J. [1 ]
Yao Y. [1 ,2 ,3 ]
机构：
[1] Rapid Manufacture Engineering Center, Mechatronic Engineering and Automation College, Shanghai University, Shanghai
[2] Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai
[3] National Experimental Teaching Demonstration Center of Engineering Training, Shanghai University, Shanghai
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2018年 / 30卷 / 04期
关键词：
3D rebuilding; Clustering; Convolutional neural network; Porous structure; Style transfer;
D O I：
10.3724/SP.J.1089.2018.16522
中图分类号：
学科分类号：
摘要：
In order to generate controllable porous structure inside different models, we present a method of transferring the two-dimensional porous pattern to three-dimensional structures in this paper. The porous pattern is consisted of the distribution pattern and filling pattern. A convolutional neural network is used to memorize the distribution pattern, and a pattern transferring process is applied to transfer the two-dimen¬sional distribution to three-dimensional models. Experiments verified that our method can provide an effective mechanism for porous structure design. © 2018, Beijing China Science Journal Publishing Co. Ltd. All right reserved.
引用
收藏
页码：739 / 746
页数：7
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