论文标题
使用图像的文化遗产半球形圆顶的自动识别和数字文献
Automatic Recognition and Digital Documentation of Cultural Heritage Hemispherical Domes using Images
论文作者
论文摘要
光学计量学的进步已使文化遗产的密集3D点云具有文档。对于大规模和连续的数字文档，密集的3D点云的处理在计算上变得笨拙，并且通常需要其他硬件来进行数据管理，从而增加了项目成本和项目的复杂性。为此，此手稿介绍了一种原始方法，可以使用两张图像生成遗产半球形圆顶的快速可靠的语义数字模型。得出了新的封闭式配方，以在图像上建立球形及其投影椭圆之间的关系，从而促进了新的自动框架的开发，以产生临时生成球。在实验室和现实世界数据集中评估了所提出方法的有效性。结果表明，与已建立的点云处理方法相比，所提出的方法达到了6mm左右的建造建模精度，同时将计算时间提高了7倍。
Advancements in optical metrology has enabled documentation of dense 3D point clouds of cultural heritage sites. For large scale and continuous digital documentation, processing of dense 3D point clouds becomes computationally cumbersome, and often requires additional hardware for data management, increasing the time cost, and complexity of projects. To this end, this manuscript presents an original approach to generate fast and reliable semantic digital models of heritage hemispherical domes using only two images. New closed formulations were derived to establish the relationships between spheres and their projected ellipses onto images, which fostered the development of a new automatic framework for as-built generation of spheres. The effectiveness of the proposed method was evaluated under both laboratory and real-world datasets. The results revealed that the proposed method achieved as-built modeling accuracy of around 6mm, while improving the computation time by a factor of 7, when compared to established point cloud processing methods.
