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.
翻译:光学计量学的进步使得能够对文化遗址密集的三维点云层进行文献记录。对于大规模和连续的数字文件来说,对密度三维点云层的处理在计算上变得繁琐,往往需要额外的数据管理硬件,从而增加时间成本和项目的复杂性。为此,本手稿提出了一种原始方法,即仅使用两张图像来生成快速可靠的遗产半球圆顶的语义数字模型。新的闭合配方可以建立区域与图像预测的椭圆之间的关系,从而推动开发新的自动框架,用于自建空间的生成。在实验室和现实世界的数据集下对拟议方法的有效性进行了评估。结果显示,拟议方法的建模精度大约为6毫米,同时将计算时间提高7倍,与固定的云处理方法相比,将计算时间提高7分。