Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning

doi:10.1109/ACCESS.2021.3101619

IR > 设计艺术学院

	Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning
	Zhou, Aimin; Liu, Hongbin; Zhang, Shutao; Ouyang, Jinyan
	2021
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	9 页码:108992-109003
摘要	Currently, evaluations of products from aesthetics are mostly carried out with knowledge expressions of aesthetic features as tools, achieving remarkable results. However, obtaining a large aesthetic feature vocabulary is a challenge because of the experience of researchers and the comprehension abilities of subjects. In addition, due to manual feature extraction, the sample sizes of experimental dataset are generally small, leading to results with poor generalization. To address this problem, a method of aesthetic evaluation and form design for products based on deep learning was proposed. First, a crawler tool was used to collect the front images of cars with corresponding appearance ratings, and a dataset was constructed with users' intuitive and simple ratings as the labels. A deep convolutional neural network (CNN) was designed, and a grading threshold was used as the classification basis. During the process of training the network, batch normalization and other methods were used to optimize the network, and good classification effects were achieved. Based on the above work, an adversarial neural network was used for the aesthetic design of a product form, a shape sketch of an automobile front face was generated, the proposed evaluation model was used to evaluate it, and the result obtained was excellent. These results show that the method used in this study can correctly evaluate product form aesthetics and then generate a design scheme with a high aesthetic level, thereby providing powerful technical support for the intelligent design of product forms.
关键词	Licenses Convolution Predictive models Generative adversarial networks Training Task analysis Kernel Aesthetic evaluation aesthetic design product form deep learning
DOI	10.1109/ACCESS.2021.3101619
收录类别	EI ; SCOPUS ; SCIE
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000683981900001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20213110716680
EI分类号	913.1 Production Engineering
来源库	WOS
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/148636
专题	设计艺术学院
通讯作者	Zhang, Shutao
作者单位	Lanzhou Univ Technol, Sch Design Art, Lanzhou 730050, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhou, Aimin,Liu, Hongbin,Zhang, Shutao,et al. Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning[J]. IEEE ACCESS,2021,9:108992-109003.
APA	Zhou, Aimin,Liu, Hongbin,Zhang, Shutao,&Ouyang, Jinyan.(2021).Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning.IEEE ACCESS,9,108992-109003.
MLA	Zhou, Aimin,et al."Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning".IEEE ACCESS 9(2021):108992-109003.

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