Shaggyshak / CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-VisualizationView on GitHub
Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspectors demand long inspection times to examine large and difficult to access bridges. To address these limitations, we investigate a computer vision‐based approach that employs SIFT keypoint matching on collected im…
☆23Jun 2, 2019Updated 7 years ago
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