<p>Reliable characterization of particle morphology is essential in various scientific fields, particularly in engineering geology. To efficiently and cost-effectively obtain particle morphology parameters during field investigations, a fast and automated Video Extraction Reconstruction (VER) method based on smartphone photogrammetry is proposed. Three-dimensional particle morphology parameters are automatically extracted through batch processing using MATLAB-based algorithms. The performance and recommended acquisition setting of the VER method were systematically evaluated by comparison with a 3D laser scanner under 39 experimental cases. Moreover, a total of 50 particles collected from mountainous and river-beach environments were used to further validate the field applicability of the VER method. Among these particles, 41 particles were successfully reconstructed in the field, corresponding to a success rate of 82%. For all successfully reconstructed cases, the error ratios of particle morphology parameters were below 9.853%, with average values remaining below 3.546%. Owing to its high practicality and convenience in image acquisition, we expect that the VER method will be widely used for measuring 3D particles during field investigations.</p>

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Three-dimensional particle morphology characterization in the field using a video-extracting and reconstruction (VER) photogrammetry

  • Jiefei Zhang,
  • Huiming Tang,
  • Kun Fang,
  • Xiaolong Hu

摘要

Reliable characterization of particle morphology is essential in various scientific fields, particularly in engineering geology. To efficiently and cost-effectively obtain particle morphology parameters during field investigations, a fast and automated Video Extraction Reconstruction (VER) method based on smartphone photogrammetry is proposed. Three-dimensional particle morphology parameters are automatically extracted through batch processing using MATLAB-based algorithms. The performance and recommended acquisition setting of the VER method were systematically evaluated by comparison with a 3D laser scanner under 39 experimental cases. Moreover, a total of 50 particles collected from mountainous and river-beach environments were used to further validate the field applicability of the VER method. Among these particles, 41 particles were successfully reconstructed in the field, corresponding to a success rate of 82%. For all successfully reconstructed cases, the error ratios of particle morphology parameters were below 9.853%, with average values remaining below 3.546%. Owing to its high practicality and convenience in image acquisition, we expect that the VER method will be widely used for measuring 3D particles during field investigations.