DEMOCRATISING DESIGN THROUGH SURROGATE MODEL CONVOLUTIONAL NEURAL NETWORKS OF COMPUTER AIDED DESIGN REPOSITORIES
DEMOCRATISING DESIGN THROUGH SURROGATE MODEL CONVOLUTIONAL NEURAL NETWORKS OF COMPUTER AIDED DESIGN REPOSITORIES
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通过计算机辅助设计存储库的代理模型卷积神经网络实现设计民主化
DOI：
10.1017/dsd.2020.93
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
S. Jennings
中科院分区：
文献类型：
--
作者：
J. Gopsill;S. Jennings
随着3D打印等技术的发展，在国内制造的能力不断提高。然而，设计适合制造和使用的产品的能力仍然是一项高技能和知识密集型活动。这导致“内容创建者”为社会提供了大量可制造产品的存储库，但在搜索和检索模型方面仍然存在挑战。本文提出了代理模型卷积神经网络的方法来搜索和检索CAD模型直接映射到他们的现实世界拍摄的副本。
Abstract The capability to manufacture at home is continually increasing with technologies, such as 3D printing. However, the ability to design products suitable for manufacture and use remains a highly-skilled and knowledge intensive activity. This has led to ‘content creators’ providing vast repositories of manufacturable products for society, however challenges remain in the search & retrieval of models. This paper presents the surrogate model convolutional neural networks approach to search and retrieve CAD models by mapping them directly to their real-world photographed counterparts.