Study of Huizhou architecture component point cloud in surface reconstruction

3rd International Conference on Advances in Energy, Environment and Chemical Engineering

能源学;生态环境科学;化学工业

Zhang, Runmei^1 ; Wang, Guangyin^1 ; Ma, Jixiang^1 ; Wu, Yulu^1 ; Zhang, Guangbin^1

Laboratory of Electronic Innovation, Anhui Jianzhu University, Hefei

230601, China^1

关键词: Point cloud;    Point cloud data;    Research object;    Stringent requirement;    Surface reconfiguration;    Three-dimensional surface reconstruction;    Time-efficient;    Triangulation algorithms;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/69/1/012087/pdf
DOI  :  10.1088/1755-1315/69/1/012087

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Surface reconfiguration softwares have many problems such as complicated operation on point cloud data, too many interaction definitions, and too stringent requirements for inputing data. Thus, it has not been widely popularized so far. This paper selects the unique Huizhou Architecture chuandou wooden beam framework as the research object, and presents a complete set of implementation in data acquisition from point, point cloud preprocessing and finally implemented surface reconstruction. Firstly, preprocessing the acquired point cloud data, including segmentation and filtering. Secondly, the surface's normals are deduced directly from the point cloud dataset. Finally, the surface reconstruction is studied by using Greedy Projection Triangulation Algorithm. Comparing the reconstructed model with the three-dimensional surface reconstruction softwares, the results show that the proposed scheme is more smooth, time efficient and portable.