用手机拍视频即可重建堆料3D模型并分析颗粒大小形状
Three-dimensional reconstruction and segmentation of an aggregate stockpile for size and shape analyses
- 用手机拍摄视频，通过SfM技术生成堆料点云
- 3D分割算法自动分离单个颗粒，支持尺寸形状分析
- 适合现场质量检测，无需专业设备
集料的粒径与形态是决定道路建设及交通岩土工程中集料材料质量的关键属性，其组成、密实度、层刚度和荷载响应均受颗粒形貌影响。现有许多集料成像系统仅针对单个或人工分离的颗粒进行分析，缺乏适用于现场大体积堆料的便捷低成本三维信息获取方法。本文提出一种创新的3D成像方法，可通过智能手机等移动设备拍摄视频/图像，实现大型集料堆场的现场三维评估。该方法基于Structure-from-Motion（SfM）技术重建堆体表面为3D点云，并采用3D分割算法将点云中的单个集料分离提取。初步结果表明，该方法具备在施工现场开展质量保证/质量控制（QA/QC）任务的潜在应用价值。
原文摘要 · Abstract (English)
Aggregate size and shape are key properties for determining quality of aggregate materials used in road construction and transportation geotechnics applications. The composition and packing, layer stiffness, and load response are all influenced by these morphological characteristics of aggregates. Many aggregate imaging systems developed to date only focus on analyses of individual or manually separated aggregate particles. There is a need to develop a convenient and affordable system for acquiring 3D aggregate information from stockpiles in the field. This paper presents an innovative 3D imaging approach for potential field evaluation of large-sized aggregates, whereby engineers can perform inspection by taking videos/images with mobile devices such as smartphone cameras. The approach leverages Structure-from-Motion (SfM) techniques to reconstruct the stockpile surface as 3D spatial data, i.e. point cloud, and uses a 3D segmentation algorithm to separate and extract individual aggregates from the reconstructed stockpile. The preliminary results presented in this paper demonstrate the future potential of using 3D aggregate size and shape information for onsite Quality Assurance/Quality Control (QA/QC) tasks.
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