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New photogrammetry method offers high-resolution 3D defect analysis for rubberised concrete

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new photogrammetry workflow using high-resolution images from a Canon DSLR and an iPhone 16 to create detailed 3D models of rubberised concrete. This method offers a sub-millimetre resolution alternative to traditional LiDAR systems, which are often too coarse for analyzing fine-scale defects like microcracks. The workflow includes an RGB-guided crack extraction technique and deformation analysis, establishing a robust geometric baseline for future automated defect characterization and material performance evaluation in laboratory settings. AI

IMPACT This research presents a novel, high-resolution 3D imaging technique for material defect analysis, potentially improving structural health monitoring and material science research.

RANK_REASON The cluster contains a research paper detailing a new methodology for 3D point cloud generation and defect characterization. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New photogrammetry method offers high-resolution 3D defect analysis for rubberised concrete

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The cluster contains a research paper detailing a new methodology for 3D point cloud generation and defect characterization. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

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

    3D Point Cloud from Close-Range Photogrammetry for Defect Characterisation of Rubberised Concrete

    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…

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