Rule set-based point cloud classification and recognition method for clear official building styles

Abstract

The invention discloses a rule set-based point cloud classification and recognition method for a clear and clear official building style. The method comprises the steps: converting and analyzing the point cloud data of a target building, carrying out the analysis through a contour line cluster extraction method, obtaining the roof data of the target building, extracting the roof data, generating ridge line data, and carrying out the classification and recognition of the ridge line data. And understanding the roof ridge line data so as to roughly classify the target building, and recognizing the specific type of the target building by deeply understanding the characteristics of the roof ridge line data. The invention relates to a point cloud classification and recognition method for a Mingqing official building style, and effectively fills up the blank of the research on the classification and recognition of the Mingqing official building style through point cloud detection at present. The method is simple, high in speed and high in reliability, can effectively identify and classify the Mingqing official building style, and is an innovation of Mingqing official building style point cloud classification and recognition.

Description

technical field [0001] The invention belongs to the technical field of point cloud recognition, and relates to a rule set-based point cloud classification and recognition method for official building styles in Ming and Qing dynasties. Background technique [0002] The official buildings of Ming and Qing Dynasties carry the traditional culture of China and are an important part of Chinese architecture and heritage. The research and protection of ancient buildings in Ming and Qing Dynasties has always been one of the important tasks of cultural relics workers. With the development of modern technology, especially the emergence of laser scanners and drones, using point clouds to construct 3D models of ancient buildings with semantic information and archiving them has become an important means of architectural heritage protection. play an increasingly important role. However, the structure of ancient buildings is complex, especially the roof shape of ancient buildings is usuall...

AI Technical Summary

Problems solved by technology

However, the complex structure of ancient buildings, especially the shape of the roof of ancient buildings is usually irregular curved surface and contains a large number of irregular decorative components, these characteristics have brought great difficulties to the automatic 3D reconstruction of ancient buildings in Ming and Qing Dynasties

In recent years, thanks to the maturity and development of computer hardware, image detection algorithms, and deep learning, buildings with large differences in style have been recognized with a high success rate. There is no relevant research on the style identification of official buildings in the Ming and Qing Dynasties

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