Development of Glasses Design Generation System using Impression Words Based on Deep Generative Model
Development of Glasses Design Generation System using Impression Words Based on Deep Generative Model
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DOI：
10.5057/jjske.tjske-d-21-00039
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Katsuki Moromugi;Toshinobu Harada
中科院分区：
文献类型：
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作者：
Katsuki Moromugi;Toshinobu Harada
通常，在工业设计中，素描工作是为了寻找包括各种印象词组合的概念的合适的形状和颜色。在素描工作中，新手设计师由于缺乏知识和经验，比熟练的设计师需要更多的时间来达到与概念匹配的形状和颜色。因此，在本研究中，我们开发了一个眼镜设计生成系统，该系统利用深度学习从印象词中推断和可视化合适的眼镜形状，旨在为新手设计师提供教育效果。本研究旨在厘清印象词与眼镜形状之间的关系。此外，为了验证该系统的有效性，我们还利用主成分分析对印象词的眼镜形状进行了降维推理实验。结果证实，对于某些印象词来说，眼镜的形状是合适的。
: Generally, in industrial design, sketching work is performed to search for the suitable shape and color for a concept including various impression word combinations. In sketching work, rookie designers take more time to reach shapes and colors that match the concept due to lack of knowledge and experience than skilled designers. Therefore, in this research, we developed a glasses design generation system that infers and visualizes suitable shapes of glasses from impression words using deep learning, aiming at educational effects for rookie designers. The purpose of the study is to clarify the relationship between impression words and shapes of glasses. In addition, to verify the usefulness of the system, we conducted an inference experiment on shapes of glasses for impression words with dimension compression by principal component analysis. As a result, it was confirmed that suitable shapes of the glasses for some impression words was inferred.