A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The refined three-dimensional (3D) reconstruction of ancient buildings using unmanned aerial vehicles (UAVs) is a crucial task in cultural heritage preservation. However, the complex structure, diverse shapes and non-regularity of ancient buildings make it difficult for traditional 3D reconstruction methods to fully cover all the details, resulting in poor quality reconstruction models. Therefore, this study proposes a novel 3D reconstruction method tailored for irregular ancient architecture, which adopts a "structural surface" guided strategy, and plans routes through the idea of "structural surfaces segmentation and then designing the routes", so as to obtain a high-resolution image set, and to ensure that the reconstruction model's fineness and completeness. Additionally, to tackle the slow speed and time-consuming nature of traditional modeling algorithms in establishing image adjacency relationships, this paper presents a method that utilizes flight path information to build these relationships. To validate the effectiveness of the proposed method, the Yellow Crane Tower in Wuhan, Hubei Province, China, was selected as a case study. Results indicate that the proposed method successfully enables the refined reconstruction of the Yellow Crane Tower, providing significant insights for the 3D reconstruction of irregular ancient buildings.
The refined three-dimensional (3D) reconstruction of ancient buildings using unmanned aerial vehicles (UAVs) is a crucial task in cultural heritage preservation. However, the complex structure, diverse shapes and non-regularity of ancient buildings make it difficult for traditional 3D reconstruction methods to fully cover all the details, resulting in poor quality reconstruction models. Therefore, this study proposes a novel 3D reconstruction method tailored for irregular ancient architecture, which adopts a "structural surface" guided strategy, and plans routes through the idea of "structural surfaces segmentation and then designing the routes", so as to obtain a high-resolution image set, and to ensure that the reconstruction model's fineness and completeness. Additionally, to tackle the slow speed and time-consuming nature of traditional modeling algorithms in establishing image adjacency relationships, this paper presents a method that utilizes flight path information to build these relationships. To validate the effectiveness of the proposed method, the Yellow Crane Tower in Wuhan, Hubei Province, China, was selected as a case study. Results indicate that the proposed method successfully enables the refined reconstruction of the Yellow Crane Tower, providing significant insights for the 3D reconstruction of irregular ancient buildings.
A refined 3D reconstruction method for irregular ancient buildings
2024
Article (Journal)
Electronic Resource
Unknown
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