A Structural Surface Crack Detection Method Based on 3D Reconstruction
In view of the lack of integrated expression of crack region parameters in traditional digital image processing-based crack monitoring methods,the paper proposed a structural surface crack detection method based on three-dimensional reconstruction.This method not only improves the accuracy of crack edge rec-ognition but also realizes the integration of crack regions and parameter calculation.The location of cracks can be determined by mapping two-dimensional cracks onto three-dimensional models.The main work in-cludes:planning the photographic path,collecting image data,and constructing an image dataset targeting building cracks according to the facade height and structural characteristics of the building;establishing a three-dimensional model of the exterior facade area with cracks using Structure from Motion SfM reconstruc-tion technology,and obtaining object distance information without the need for ranging equipment based on the distance from the camera center to the crack fitting plane;identifying and segmenting structural surface cracks using cascaded neural networks;calculating crack parameters using the pixel resolution obtained from the real-world 3D model.The experimental results demonstrated that the proposed method could accu-rately identify cracks in building facades while simultaneously calculating crack widths and lengths,ulti-mately achieving crack integration and localization.The relative error of crack width is less than 1.5％,in-dicating good practical value.
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