College of Fine Arts and Design, YangZhou University, Yangzhou 225000, Jiangsu, China.
J Environ Public Health. 2022 Jul 9;2022:1828782. doi: 10.1155/2022/1828782. eCollection 2022.
Garden design with healthy psychological characteristics is a design method that mines positive psychological expressions and converts them into garden design elements. Chinese classical gardens are cultural heritage of China. Studying the beauty of space in classical gardens is of great significance to inheriting traditional culture, traditional art, and traditional aesthetics. At present, the research hotspots of garden design with healthy psychological characteristics mainly focus on the construction of relevant research theories and methods with the help of various intelligent tools. In this study, we propose a deep learning-based end-to-end model to recognize the positive psychological design of a Chinese classical garden. The model is designed based on Inception V3 that is proposed by Google. The innovation lies in that transfer learning which is integrated into Inception V3 to improve the generalization ability. Also, it is not necessary to encode the characteristics of the garden design style due to the end-to-end structure used in our proposed model. We design a positive psychological characteristics classification task to recognize high aesthetic feeling and low aesthetic feeling of rockery design. Experimental results indicate that our proposed model wins the best performance compared with other comparison models.
具有健康心理特征的园林设计是一种挖掘积极心理表现并将其转化为园林设计元素的设计方法。中国古典园林是中国的文化遗产。研究古典园林的空间美，对于继承传统文化、传统艺术和传统美学具有重要意义。目前，具有健康心理特征的园林设计的研究热点主要集中在借助各种智能工具构建相关研究理论和方法上。在本研究中，我们提出了一个基于深度学习的端到端模型，用于识别中国古典园林的积极心理设计。该模型是基于谷歌提出的 Inception V3 设计的，其创新之处在于将迁移学习集成到 Inception V3 中，以提高泛化能力。此外，由于我们提出的模型采用了端到端结构，因此不需要对园林设计风格的特征进行编码。我们设计了一个积极心理特征分类任务，用于识别假山设计的高美感和低美感。实验结果表明，与其他对比模型相比，我们提出的模型具有最佳性能。
