一种基于影像的古建筑点云生成方法

An image-based method for generating point cloud model of ancient architecture

针对现有古建筑数字化保护点云模型生成方法存在的诸多问题,该文采用增量式运动恢复结构技术构建了一种基于影像的古建筑点云模型生成方法,可简单、快速、低成本地实现古建筑点云生成。首先使用普通相机拍摄目标古建筑影像集并平滑预处理,然后使用运动恢复结构技术构建三维稀疏点云模型,最后密集点云加密处理并纹理映射得到古建筑三维点云模型。该方法创新性地将运动恢复结构技术引入古建筑点云生成领域。实验结果表明:该方法能快速构建古建筑三维点云模型,为古建筑数字化保护点云模型建立提供了一种新思路。

Aiming at the problems in the existing digital building protection point cloud model generation method,this paper used the incremental structure form motion technology to construct an image-based ancient building point cloud model generation method,which could realize ancient buildings simply,quickly and at low cost to generate point cloud model.Firstly,the image of the target ancient building image was captured by a common camera and smoothed,and then the three-dimensional sparse point cloud model was constructed by using the structure from motion technology.Finally,the dense point cloud encryption processing and texture mapping were used to obtain the three-dimensional point cloud model of the ancient building.This method innovatively introduced the structure from motion technology into the field of ancient building point cloud generation.The experimental results showed that the method could quickly construct the 3Dpoint cloud model of ancient buildings,which provided a new idea for the establishment of digital protection point cloud model for ancient buildings.