Application of Gestalt Psychological Big Data Mapping Algorithm in CAD Realization of Architectural Design Fingerprinting Software

This paper studies the application of the Gestalt psychological big data mapping algorithm in CAD realization of architectural design fingerprinting software. The main function module of heterogeneous vector data mapping tool is composed of three parts: data structure, data relationship and data map...

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Bibliographic Details
Published in2022 International Conference on Edge Computing and Applications (ICECAA) pp. 132 - 135
Main Authors Gao, Xiaomei, Ma, Xiyin
Format Conference Proceeding
LanguageEnglish
Published IEEE 13.10.2022
Subjects
Big Data Mapping
CAD Realization
Fingerprint recognition
Fingerprinting Software
Gestalt Psychological Algorithm
Object detection
Psychology
Smart Architectural Design
Software algorithms
Solid modeling
Systematics
Visualization
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DOI10.1109/ICECAA55415.2022.9936557

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Summary:This paper studies the application of the Gestalt psychological big data mapping algorithm in CAD realization of architectural design fingerprinting software. The main function module of heterogeneous vector data mapping tool is composed of three parts: data structure, data relationship and data mapping. The data structure is used to obtain the data structure of two kinds of heterogeneous vector data, including "read template file" and "user-defined template". Hence, this designed model is based on this basic characteristic. Therefore, how to improve the detection accuracy of small targets is a key problem in the application of target detection algorithm. Then, with this model, the CAD will also be considered for improvement. There are many types and quantities of CAD software used in the field of architectural design. Then, the visual information mining procedures are combined for the systematic enhancement.
DOI:10.1109/ICECAA55415.2022.9936557