A Virtual Restoration Approach for Ancient Plank Road Using Mechanical Analysis with Precision 3D Data of Heritage Site
A Virtual Restoration Approach for Ancient Plank Road Using Mechanical Analysis with Precision 3D Data of Heritage Site
复制标题
利用力学分析和遗址精确 3D 数据的古栈道虚拟修复方法
DOI：
10.3390/rs8100828
复制
发表时间：
2016-10
期刊：
影响因子：
5
通讯作者：
Yang, Hongjun
中科院分区：
文献类型：
--
作者：
Chen, Siliang;Hu, Qingwu;Wang, Shaohua;Yang, Hongjun
古栈道是中国古代穿崖交通史上的创造性建筑。本文提出了一种利用现有遗址精确三维数据进行力学分析的古栈道虚拟修复方法。首先，提出了一种利用无人机（UAV）多视角成像系统获取古栈道三维点云的航空摄影测量方法，该方法采用密度图像匹配和空中三角测量处理。此外，地面激光扫描仪集成，以获得详细的三维数据的栈道。其次，提出了一种基于现有栈道精确三维数据的力学分析方法，以确定其形式并以细节尺寸恢复其各个组成部分。最后，在已有模型的基础上添加所有组件和背景场景，得到虚拟修复模型，表明实现古遗址三维数字化虚拟修复是有效可行的。最后，以赤屋栈道为例进行虚拟复原。复原后的古栈道三维模型可广泛应用于古栈道的数字化管理、研究和可视化。
The ancient plank road is a creative building in the history of Chinese ancient traffic through cliffs. In this paper, a virtual restoration approach for ancient plank road using mechanical analysis with precision 3D data of current heritage site is proposed. Firstly, an aero photogrammetry with multiple view images from Unmanned Aerial Vehicle (UAV) imaging system is presented to obtain the 3D point cloud of ancient plank roads, which adopts a density image matching and aerial triangulation processing. In addition, a terrestrial laser scanner is integrated to obtain detail 3D data of the plank road. Secondly, a mechanical analysis method based on the precision 3D data of the current plank roads is proposed to determine their forms and restore each of their components with detail sizes. Finally, all components and background scene were added to the existing model to obtain a virtual restoration model, which indicates that it is effective and feasible to achieve a three-dimensional digital and virtual restoration of ancient sites. The Chiya Plank Road is taken as a virtual restoration example with the proposed approach. The restored 3D model of the ancient plank can be widely used for digital management, research, and visualization of ancient plank roads.
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影响因子：
19.5
作者：
Revaud, Jerome;Weinzaepfel, Philippe;Schmid, Cordelia
通讯作者：
Schmid, Cordelia
影响因子：
3.1
作者：
K. Hinzen;S. Schreiber;Sebastian Rosellen
通讯作者：
K. Hinzen;S. Schreiber;Sebastian Rosellen
影响因子：
3.1
作者：
Pesci, Arianna;Casula, Giuseppe;Boschi, Enzo
通讯作者：
Boschi, Enzo
DOI：
--
发表时间：
2015
期刊：
Journal of Beijing Union University
影响因子：
--
作者：
Ouyang Hon
通讯作者：
Ouyang Hon
DOI：
10.1260/147807709788549439
发表时间：
2009-01-01
影响因子：
1.7
作者：
Guidi, Gabriele;Remondino, Fabio;Ercoli, Sebastiano
通讯作者：
Ercoli, Sebastiano