Three-dimensional (3D) lines require further enhancement in both clustering and triangulation. Line clustering assigns multiple image lines to a single 3D line to eliminate redundant 3D lines. Currently, it depends on the fixed and empirical parameter. However, a loose parameter could lead to over-clustering, while a strict one may cause redundant 3D lines. Due to the absence of the ground truth, the assessment of line clustering remains unexplored. Additionally, 3D line triangulation, which determines the 3D line segment in object space, is prone to failure due to its sensitivity to positional and camera errors.

中文翻译：

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多张图像中 3D 线的聚类、三角测量和评估


三维 （3D） 线需要在聚类和三角测量方面进一步增强。线条聚类将多条图像线条分配给单个 3D 线条，以消除多余的 3D 线条。目前，它取决于固定参数和经验参数。但是，松散的参数可能会导致过度聚类，而严格的参数可能会导致冗余的 3D 线。由于缺乏基本实况，线聚类的评估仍未得到探索。此外，3D 线三角测量（用于确定对象空间中的 3D 线段）由于对位置和相机误差敏感，因此容易出现故障。