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

Rui Zhang, Yuwei Zhao, Jianlei Kong, Chen Cheng, Xinyan Liu and Chang Zhang
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Rui Zhang: School of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Yuwei Zhao: School of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Jianlei Kong: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Chen Cheng: School of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Xinyan Liu: School of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China
Chang Zhang: School of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China

Sustainability, 2021, vol. 13, issue 15, 1-22

Abstract: 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.

Keywords: Chinese landscape architecture; artificial intelligence; Suzhou traditional gardens; decorative openwork window recognition; deep learning neural network (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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