PRIMITIVE SEGMENTATION OF DOUGONG COMPONENTS BASED ON REGIONAL CLUSTERING

W. Hao, Y. Dong, M. Hou
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Abstract

Abstract. As one of the most characteristic components of ancient Chinese architecture, Dougong has an important significance in the history of ancient Chinese architecture, but with the passage of time, wooden building components are prone to decay and missing, so it is particularly important to digitally retain the Dougong. In order to realize the Dougong component segmentation, this paper proposes a super voxel-based Dougong component primitive segmentation method, which is divided into two parts: firstly, super voxelizing the Dougong point cloud data, and secondly, realizing the Dougong component primitive segmentation by using multi-geometric constrained region growth algorithm. In order to verify the effectiveness of the method, this paper selects three main Dougong types of the Qing Dynasty, including pingshenke, jiaoke, zhutouke, for experimental validation, and the results show that the combination of super voxel and regional growth algorithm can effectively extract the geometric primitive surface of the Dougong components with high extraction efficiency and good adaptability, which can be prepared for the subsequent knowledge of Dougong construction method to achieve component segmentation.
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基于区域聚类的斗拱成分原始分割
摘要斗拱作为中国古代建筑最具特色的构件之一,在中国古代建筑史上有着重要的意义,但随着时间的推移,木质建筑构件容易腐烂和丢失,因此对斗拱进行数字化保存就显得尤为重要。为了实现斗拱分量分割,本文提出了一种基于超体素的斗拱分量原语分割方法,该方法分为两部分:首先对斗拱点云数据进行超体素化处理,其次利用多几何约束区域增长算法实现斗拱分量原语分割。为了验证该方法的有效性,本文选取清代平深客、交客、竹头客三种主要的斗拱类型进行实验验证,结果表明,超体素与区域生长算法相结合,能够有效提取出斗拱成分的几何原始表面,提取效率高,适应性好。这可以为后续的斗拱构造方法知识做准备,实现构件分割。
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来源期刊
ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences
ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences Environmental Science-Environmental Science (miscellaneous)
CiteScore
2.00
自引率
0.00%
发文量
0
审稿时长
16 weeks
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