Dual Recognition Method of Spatial Layout Fusion for Complex Architectural Plan Drawings

ZHANG Hongxin; FANG Yutong; LIU Mushui; DONG Binzhi

doi:10.13203/j.whugis20210323

Volume 46 Issue 9

Sep. 2021

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Geomatics and Information Science of Wuhan University > 2021 > 46(9): 1354-1361. > DOI: 10.13203/j.whugis20210323

ZHANG Hongxin, FANG Yutong, LIU Mushui, DONG Binzhi. Dual Recognition Method of Spatial Layout Fusion for Complex Architectural Plan Drawings[J]. Geomatics and Information Science of Wuhan University, 2021, 46(9): 1354-1361. DOI: 10.13203/j.whugis20210323

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Dual Recognition Method of Spatial Layout Fusion for Complex Architectural Plan Drawings

1.
State Key Lab of CAD&CG, Zhejiang University, Hangzhou 310058, China

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The National Natural Science Foundation of China U1909204

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ZHANG Hongxin, PhD, associate professor, specializes in computer graphics, cloud computing and artificial intelligence. E-mail: zhx@cad.zju.edu.cn
Received Date: June 11, 2021
Published Date: September 17, 2021

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Abstract

Objectives The spatial layout of vectorized complex architectural drawings is widely used in 5G base station construction, smart homes, and AR/VR(augmented reality/virtual reality).
Methods To solve the difficulty of identifying the spatial layout of drawings caused by various irregular drawing elements, a high?performance fusion recognition method combining raster image and vector representation is proposed. First, the rasterized representation of architectural plan drawings is used to extract the main development direction, and several enclosed spaces are constructed. Then, the vectorized representation of architectural plan drawings is used and according to the directional and adjacency characteristics of space recognition, the half?wall structure is innovatively proposed to calculate geometric position and topological relationship. The wall layout can be rebuilt as a whole with high precision according to the principle of space duality. Finally, the proposed method and the traditional methods are analyzed on the vector building plan data set of various wall layouts.
Results The experimental results show that the proposed fusion dual recognition algorithm is usable and effective for various types of building models.
Conclusions It has higher robustness and is less interfered by specific architectural drawing types.
- spatial layout recognition,
- architectural plan drawings,
- half?wall structure,
- debris removal

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