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English(EN) 3D Point Cloud from Close-Range Photogrammetry for Defect Characterisation of Rubberised Concrete

新的摄影测量方法为橡胶混凝土提供高分辨率三维缺陷分析

研究人员开发了一种新的摄影测量工作流程,使用 Canon DSLRiPhone 16 的高分辨率图像来创建橡胶混凝土的详细三维模型。该方法提供了亚毫米级分辨率,可替代传统的 LiDAR 系统,而 LiDAR 系统通常过于粗糙,无法分析微裂纹等细微缺陷。该工作流程包括一个 RGB 引导的裂缝提取技术和变形分析,为未来实验室环境中的自动缺陷表征和材料性能评估奠定了稳健的几何基础。 AI

影响 这项研究提出了一种新颖的高分辨率三维成像技术,用于材料缺陷分析,有望改善结构健康监测和材料科学研究。

排序理由 该集群包含一篇详细介绍三维点云生成和缺陷表征新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CV 阅读 →

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新的摄影测量方法为橡胶混凝土提供高分辨率三维缺陷分析

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该集群包含一篇详细介绍三维点云生成和缺陷表征新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jiacheng Liu, Mohammed Alnahhal, Ailar Hajimohammadi, Sara Gonizzi Barsanti, Jinling Wang, Mohsen Kalantari ·

    用于橡胶混凝土缺陷表征的近距离摄影测量三维点云

    arXiv:2608.21468v1 Announce Type: new Abstract: While three-dimensional (3D) point clouds are widely used in civil engineering, mainstream LiDAR systems such as Terrestrial Laser Scanning (TLS) are physically constrained to laboratory environments. Since their laser spot size typ…