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Structural damage mapping, quantification and visualization method based on image and three-dimensional point cloud registration

A 3D point cloud and structural damage technology, applied in image enhancement, image analysis, image data processing, etc., to achieve the effect of absolute size quantification and visual representation

Pending Publication Date: 2021-12-31
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method solves the problem of absolute size quantification in images, while providing a method for visualization of model and structural damage

Method used

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  • Structural damage mapping, quantification and visualization method based on image and three-dimensional point cloud registration
  • Structural damage mapping, quantification and visualization method based on image and three-dimensional point cloud registration
  • Structural damage mapping, quantification and visualization method based on image and three-dimensional point cloud registration

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Embodiment

[0027] Embodiment: A reinforced concrete beam is taken as an example to illustrate a structural damage mapping, quantification and visualization method based on image and three-dimensional point cloud registration proposed by the present invention. Such as figure 1 As shown, in order to identify, quantify and visualize the cracks in reinforced concrete beams and their surfaces, the present invention mainly includes the following steps:

[0028] (1). Data collection and preprocessing: use camera and 3D laser scanner to acquire structure images and 3D point cloud data respectively, and do corresponding data preprocessing;

[0029] Images and 3D point clouds were used to acquire surface damage and 3D models of RC beams, respectively. Specifically, before capturing images, the internal parameters of the camera need to be calibrated, and then the focal length of the camera should be kept constant during the process of capturing structural images. When using a 3D laser scanner to ...

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Abstract

The invention discloses a structure damage mapping, quantification and visualization method based on image and three-dimensional point cloud registration. An image and three-dimensional point cloud information of a structure are obtained through a camera and a three-dimensional laser scanner respectively, then structure angular point and edge line features are extracted from the image and the point cloud respectively, and the image is registered into a three-dimensional space by adopting a nearest point iteration mode based on a direct linear transformation algorithm. Meanwhile, the structure surface damage is identified in the image by adopting an image-based damage identification algorithm, and then the identified damage is mapped to a three-dimensional space based on a registration result, so that the visual representation of the damage in the three-dimensional space is obtained. And finally, the size of the damage in a three-dimensional space is directly measured. Rapid identification, evaluation and visualization of the surface damage of the structure can be realized, the efficiency of structure inspection is improved, and safe operation of a service structure is ensured.

Description

technical field [0001] The invention relates to the field of structural inspection, and in particular to a method for quantifying and visualizing damage using point clouds and images. Background technique [0002] The daily inspection of the active structure is the basic guarantee to ensure the safe operation of the structure. The traditional method mainly relies on regular manual visual measurement and recording. This method is inefficient, error-prone, and highly subjective, and the observation records are difficult to digitally store, and it is not convenient to record the operating state of the structure. Even though the damage recognition method based on drones and deep learning developed in recent years has greatly increased the automation of inspections, the images collected by drones are two-dimensional, and the depth information and scale information are lost. The problem of determining the specific location of the identified lesion from the image and the absolute ...

Claims

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Application Information

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IPC IPC(8): G06T7/33G06T7/00G06T7/11G06K9/62G06T17/20G06Q10/00G06Q50/08
CPCG06T7/33G06T7/0004G06T7/11G06T17/20G06Q10/20G06Q50/08G06T2207/30132G06T2207/20081G06T2207/20084G06T2207/10028G06F18/2321
Inventor 舒江鹏张从广
Owner ZHEJIANG UNIV
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