AI 中文总结
本研究针对橡胶混凝土调整近程摄影测量工作流程，结合SfM、MVS算法及RGB引导裂纹提取方法，生成亚毫米级分辨率三维模型，可替代激光雷达用于实验室样本表面检查与变形监测，为后续研究建立几何基准。
AI 中文摘要
尽管三维（3D）点云在土木工程中应用广泛，但主流的激光雷达系统如地面激光扫描（TLS）受物理条件限制仅适用于实验室环境。由于其激光光斑尺寸通常超过微裂纹宽度，光束会物理性地桥接空隙，导致TLS不适用于精细尺度的缺陷分析。相比之下，利用运动恢复结构（SfM）和多视图立体（MVS）算法的近程摄影测量为测试高度曲折的材料提供了一种解决方案，但其在精细尺度下的实用性尚未得到充分探索。本研究专门针对橡胶混凝土（RuC，一种具有高延展性和复杂断裂形态的可持续复合材料）调整了摄影测量工作流程。使用佳能数码单反相机（Canon DSLR）和iPhone 16采集高分辨率图像集以生成密集三维模型。对比显示，基于数码单反相机的重建达到了亚毫米级分辨率，在精细尺度表面监测中表现更优。开发了一种RGB引导的裂纹提取方法，以增强表面缺陷的识别并从背景中分离潜在裂纹区域。提取的裂纹区域视觉上可区分，且提供了缺陷形态的良好结构化几何表示。此外，进行了测试前后的变形分析，以量化各测试阶段的表面位移。结果证实，这种近程摄影测量工作流程是实验室环境中样本表面检查和变形监测的一种灵活、高分辨率的激光雷达替代方案。最终，该方法为未来自动化三维特征表征和材料性能评估建立了可靠的几何基准。
英文摘要
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 typically exceeds the width of microcracks, the beam physically bridges over voids, rendering TLS unsuitable for fine-scale defect analysis. Alternatively, close-range photogrammetry utilising Structure-from-Motion (SfM) and Multi-View Stereo (MVS) algorithms offers a solution for testing highly tortuous materials, and its utility at fine-scale remains underexplored. This study adapts photogrammetric workflows specifically for rubberised concrete (RuC), a sustainable composite exhibiting high ductility and complex fracture morphologies. High-resolution image sets were captured using a Canon DSLR and an iPhone 16 to generate dense 3D models. Comparisons revealed that the DSLR-based reconstruction achieved sub-millimetre resolution, demonstrating superior performance for fine-scale surface monitoring. An RGB-guided crack extraction method was developed to enhance the identification of surface defects and isolate potential crack areas from the background. The extracted crack regions were visually distinguishable and provided a well-structured geometrical representation of defect morphology. Furthermore, a Pre and Post-Test deformation analysis was conducted to quantify surface displacement across testing stages. The results confirm that this close-range photogrammetry workflow is a flexible, high-resolution alternative to LiDAR for surface inspection and deformation monitoring of specimens in laboratory settings. Ultimately, this approach establishes a robust geometric baseline for future automated 3D feature characterisation and material performance evaluation.
Comments8 pages, 10 figures. Published in the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXV ISPRS Congress 2026, Toronto, Canada
Journal refInt. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B2-2026, 1251-1258, 2026
DOI：10.5194/isprs-archives-XLIX-B2-2026-1251-2026
