Geometric reconstruction of buildings by using dimension features

Chunsen Tan; Maolin Chen; Weibin Xu; Xieyu Lv

doi:10.1117/12.2614188

10 November 2021 Geometric reconstruction of buildings by using dimension features

Chunsen Tan, Maolin Chen, Weibin Xu, Xieyu Lv

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 1205044 (2021) https://doi.org/10.1117/12.2614188
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

With the high accuracy and reliability, laser scanning has emerged as a powerful platform for surveying, providing surveyors a faster and more convenient measure method. The resulting 3D point cloud could describe the geometric characteristics of the target object in detail, which can well overcome the shortcomings of traditional survey production. This paper proposes a scheme for the geometric reconstruction of buildings based on ground-based 3D laser scanning technology, whose overall process includes: (1) Point cloud registration. (2) Calculation of dimension feature and extraction of building contour lines (3) Build the 3D model by importing the contour lines into SketchUp. (4) Modeling accuracy evaluation. The experimental results show that the method of extracting contour lines through the combination of dimension features and Otsu method is feasible, and the accuracy of the model built by this scheme is reliable.

Citation Download Citation

Chunsen Tan, Maolin Chen, Weibin Xu, and Xieyu Lv "Geometric reconstruction of buildings by using dimension features", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 1205044 (10 November 2021); https://doi.org/10.1117/12.2614188

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