Intelligent Recognition Method of Decorative Openwork Windows with Sustainable Application for Suzhou Traditional Private Gardens in China

Intelligent Recognition Method of Decorative Openwork Windows with Sustainable Application for Suzhou Traditional Private Gardens in China
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苏州传统私家园林可持续应用的装饰镂空窗智能识别方法

DOI:
10.3390/su13158439
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发表时间:
2021-07
期刊:
影响因子:
3.9
通讯作者:
Chang Zhang
Chang Zhang
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Rui Zhang;Yuwei Zhao;Jianlei Kong;Chen Cheng;Xinyan Liu;Chang Zhang

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苏州传统私家园林中的透雕窗花在中国传统园林艺术中占有重要地位,其图案精美典雅,文化内涵丰富,具有很高的保护和利用价值。在本研究中,我们首先访问了苏州现存的15个传统园林,拍摄了近3000张照片,建立了DO-W数据集。在此基础上,提出了一种有效的视觉识别方法CSV-Net,对苏州传统园林中不同的DO-W图案进行了分类。在Soft-VLAD架构优化的跨阶段部分网络骨干模块的基础上,CSV-Net实现了较好的表示能力,能够区分实际场景中不同的DO-W。对比实验结果表明,CSV-Net模型在识别DO-W的性能、鲁棒性和复杂性之间取得了良好的平衡,在传统园林中也有进一步的可持续应用潜力。并以沧浪亭和拙政园为例,分析了智能方法中DO-W类型的识别与其位置的关系,进一步揭示了中国传统园林中蕴含的可持续文化的设计规律。这项工作最终推动人工智能技术在园林设计领域的可持续应用和园林艺术的传承。
Decorative openwork windows (DO-Ws) in Suzhou traditional private gardens play a vital role in Chinese traditional garden art. Due to the delicate and elegant patterns, as well as their rich cultural meaning, DO-Ws have quite high protection and utilization value. In this study, we firstly visited 15 extant traditional gardens in Suzhou and took almost 3000 photos to establish the DO-W datasets. Then, we present an effective visual recognition method named CSV-Net to classify different DO-Ws’ patterns in Suzhou traditional gardens. On the basis of the backbone module of the cross stage partial network optimized with the Soft-VLAD architecture, the proposed CSV-Net achieves a preferable representation ability for distinguishing different DO-Ws in practical scenes. The comparative experimental results show that the CSV-Net model achieves a good balance between its performance, robustness and complexity for identifying DO-Ws, also having further potential for sustainable application in traditional gardens. Moreover, the Canglang Pavilion and the Humble Administrator’s Garden were selected as the cases to analyze the relation between identifying DO-W types and their locations in intelligent approaches, which further reveals the design rules of the sustainable culture contained in Chinese traditional gardens. This work ultimately promotes the sustainable application of artificial intelligence technology in the field of garden design and inheritance of the garden art.
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