Journal of System Simulation
Abstract
Abstract: To address the issue of the time-consuming and labor-intensive manual conversion of two-dimensional CAD design drawings of buildings into three-dimensional models, and leveraging the characteristic that stadiums contain a large number of repetitively and regularly arranged objects, this study proposes a similar graphical element detection algorithm. This algorithm detects similarities between graphical elements by constructing their bounding boxes and calculating the L2-Norm distance, identifying all graphical elements of the same type within the CAD drawing. Furthermore, a transformation sequence detection algorithm is proposed. Based on the geometric transformation relationships between graphical elements, a geometric transformation space is defined. By performing cluster analysis within this transformation space, the transformation sequences among the graphical elements are discovered. The height information of the graphical elements is automatically calculated based on the analyzed arrangement patterns. Simulation and validation experiments demonstrate that the proposed method can rapidly achieve similar graphical element detection and arrangement pattern analysis, effectively accelerating the 3D modeling process for stadiums.
Recommended Citation
Ma, Shang; Zhang, Mengyu; Zhang, Lan; and Yang, Gang
(2026)
"3D Reconstruction for Stadium CAD Drawings Based on Graphic Element Arrangement Pattern Analysis,"
Journal of System Simulation: Vol. 38:
Iss.
1, Article 5.
DOI: 10.16182/j.issn1004731x.joss.25-0835
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss1/5
First Page
58
Last Page
72
CLC
TP391.9; TP391.41
Recommended Citation
Ma Shang, Zhang Mengyu, Zhang Lan, et al. 3D Reconstruction for Stadium CAD Drawings Based on Graphic Element Arrangement Pattern Analysis[J]. Journal of System Simulation, 2026, 38(1): 58-72.
DOI
10.16182/j.issn1004731x.joss.25-0835
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