两种建模方法在古文物三维模型重建中的研究

Research on two modeling methods in the reconstruction of three-dimensional model of antiquities

海量点云数据为古文物三维模型重建开辟了一种全新的思路。常规获取点云的手段是采用三维激光扫描技术,其硬软件设备比较昂贵,目前普及度并不是很高,并且有时候外业工作量较大。本文依据数字摄影测量和计算机视觉原理,利用多视图影像重建技术,仅对目标物多方位拍摄采集照片,将数码照片进行相互匹配对齐,生成实物表面的点云数据。基于点云数据,结合三角网格法和特征线提取法两种模型重建方法进行三维建模,探讨了模型重建过程中关键技术和主要问题,并完成建模工作,为实际生产提供技术支持。

The massive point cloud data opens up a new method for 3D reconstruction of antiquities. The conventional means of acquisition point cloud is to use 3D laser scanning technology. The hardware and software of laser scanning is expensive and not very popular , and the workload of data acquisition is relatively large. In this paper, based on the digital photogrammetry and computer vision principle, using the multi view image reconstruction technique, only takes the multiple photos of the target, the digital photo matching alignment, and generates the surface point cloud data of the target. Based on point cloud data, both the triangle grid method and the feature line extraction method are used to complete 3D model reconstruction. At the same time, this paper discusses the key technology and the main problems which provide technical supports for the actual production.