Abstract
Classical architecture is an architectural, cultural heritage with specific historical value. It is also a city with historical and cultural heritage and even a testimony of the profound historical culture of a country. Therefore, urbanization is unavoidable, and it directly influences historical buildings. This study aims to combine the three-dimensional image techniques and the Internet of Things (IoT) technology to research the development of classical architectural artistic style. This article presents the acquisition equipment, methods, precautions, and data processing of real-life 3D image data of the classical architectural heritage. We realized the online publishing of real-world 3D services of classical architectural heritage through the real-world 3D display system developed through the Internet of Things and mobile terminals. The model was verified through simulation tests. The combination of image processing techniques and analysis methods such as simulated annealing improved the accuracy of the prediction model. The proposed model can provide data support for policy formulation, technical intervention, and targeted field investigation on architectural heritage by screening research objects.
Highlights
E development of digital technology is gradually changing the way people absorb and spread culture. e digitization of classical heritage and buildings is a new type of architectural protection and maintenance [6]
Mobile Information Systems and opened the Website of the Digital Forbidden City [11], where the historical buildings and historical materials of the Forbidden City are displayed through the Internet
This article combines three-dimensional image processing and IoT technology to carry out the research and construction of the classical architectural, artistic style
Summary
After processing multi-dimensional data, it can be reduced to a way that humans can directly receive and understand the information above three dimensions [16]. When the multi-dimensional data are reduced to a two-dimensional or three-dimensional graphic image, it is convenient for humans to understand and comprehend the information of the object. Erefore, multi-dimensional data visualization and image processing technology have a wide range of applications in the process of classical architectural data analysis. Countless transparent plastic materials are sealed between [22] Lofting is another image processing method that takes a two-dimensional object as a section along a certain path to form a complex three-dimensional object. Due to the variability of the communication status of the sensor network nodes, this study uses the simulated annealing algorithm to find the best resource allocation plan and uses the Metropolis acceptance criterion to include the nonoptimal new solutions in the annealing process into the solution set to avoid the algorithm from falling into the local optimum: Real 3D data
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