Deformation Tracking in 3D Point Clouds Via Statistical Sampling of Direct Cloud-to-Cloud Distances

Jafari, Bahman; Khaloo, Alireza; Lattanzi, David

doi:10.1007/s10921-017-0444-2

Cited by 59 publications

(40 citation statements)

References 26 publications

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“…Koch [12] proposed the lofting method by estimation of control points and the method showed good accuracy in the 3D non-uniform rational b-splines (NURBS) surface. Jafaru et al [13] presented a 3D point cloud change analysis approach for tracking small movements over time through a combination of a direct point-wise distance metrics in conjunction with statistical sampling. Khaloo and Lattanzi [14] suggested an algorithm to identify structural anomalies in 3D point clouds of infrastructure systems by linear and non-linear transformations from RGB to non-RGB spaces.…”

Section: Background and Purpose Of The Studymentioning

confidence: 99%

Development of Image Processing for Crack Detection on Concrete Structures through Terrestrial Laser Scanning Associated with the Octree Structure

et al. 2018

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Terrestrial laser scanning (TLS) provides a rapid remote sensing technique to model 3D objects but can also be used to assess the surface condition of structures. In this study, an effective image processing technique is proposed for crack detection on images extracted from the octree structure of TLS data. To efficiently utilize TLS for the surface condition assessment of large structures, a process was constructed to compress the original scanned data based on the octree structure. The point cloud data obtained by TLS was converted into voxel data, and further converted into an octree data structure, which significantly reduced the data size but minimized the loss of resolution to detect cracks on the surface. The compressed data was then used to detect cracks on the surface using a combination of image processing algorithms. The crack detection procedure involved the following main steps: (1) classification of an image into three categories (i.e., background, structural joints and sediments, and surface) using K-means clustering according to color similarity, (2) deletion of non-crack parts on the surface using improved subtraction combined with median filtering and K-means clustering results, (3) detection of major crack objects on the surface based on Otsu’s binarization method, and (4) highlighting crack objects by morphological operations. The proposed technique was validated on a spillway wall of a concrete dam structure in South Korea. The scanned data was compressed up to 50% of the original scanned data, while showing good performance in detecting cracks with various shapes.

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Section: Background and Purpose Of The Studymentioning

confidence: 99%

Development of Image Processing for Crack Detection on Concrete Structures through Terrestrial Laser Scanning Associated with the Octree Structure

et al. 2018

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“…3D Laser Scanning is a non-contact, non-destructive technology that digitally captures the shape of physical objects using a line of laser light. Because of the ability of fast, reliable and inexpensive 3D survey, it has become popularly used in variety applications such as change detection (Vaaja et al 2011, Lindenbergh and Pietrzyk 2015, Mukupa et al 2016 and deformation tracking (Mukupa et al 2016, Jafari et al 2017, cave and mine surveying (Zlot and Bosse 2014a, Zlot and Bosse 2014b, Grehl et al 2015 etc. The laser scanner is able to record millions of 3D points.…”

Section: D Laser Scanningmentioning

confidence: 99%

Development of a Laboratory for Testing the Accuracy of Terrestrial 3D Laser Scanning Technologies

Cawood

Kolapo

et al. 2018

IJGE

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The mining market is currently overwhelmed by technology vendors offering scanning equipment as 'solutions' for real time mapping and monitoring rock mass movement for mine safety. Mines are left with a problem in that the technology is mostly unproven and not originally designed for mine safety accuracies. Scanning system accuracy assessment needs to be done so as to increase the level of confidence and trust in the quality of the results. The scope of this research is set a laboratory for testing terrestrial laser scanning (TLS) systemscomplete with targets fix on the wall of the testing laboratory, which plays a vital role in creating high quality and reliable digital point clouds. To improve the accuracy test of the scanning system, we support exact positioning and distance measurement of points cloud by providing revolutionizing surveying solutions and infrastructure development. The FARO, a static 3D laser scanner and uGPS, a mobile 3D laser scanning system are tested in this research. If the level of accuracy of these TLS systems can be ascertained, this can fit into the production process, ore flow analysis to measure discrepancy and metal accounting principles. Notably, this will add value to mining operations chains through measurement and adequate monitoring of process by revealing the modifying factor contributing to mine loss. More importantly good decisions can be made on mine evacuation when point cloud comparisons raise alarm on rock mass movement. With this laboratory, we can offer a vital service to the mining industry by certifying new scanning solutions as these arrive on the market. This will make mines safer.

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“…In the last years, many different technologies have been proposed for inspecting structures deformation. For example, Light detection and ranging (LIDAR), 3D Cameras, and Structure From Motion (SFM) have been deployed in many modern applications, as can be seen in [10]- [15]. Note that in these mentioned applications, the 3D point clouds are generated representing the objects and places over inspection.…”

Section: Introductionmentioning

confidence: 99%

“…Other difficulties related to the point clouds can be associated with the methods employed to compare them. Many methods, such as cloud-to-cloud (C2C) [18] and multi-scale model-to-model cloud (M3C2) [10], use the normal of the surface to evaluate point cloud distance. Despite being efficient in many cases, these methods are sensible in situations where the movement is larger or happens in a different direction from the surface normal.…”

Section: Introductionmentioning

confidence: 99%

3D Correspondence and Point Projection Method for Structures Deformation Analysis

et al. 2020

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Mining slopes, electrical power generation dams and several big construction enterprises demands continuous inspections. The size and diversity of these structures demands high precision and portable approach. In such environments, 3D reconstruction methodologies are able to capture and analyze the real world in detail. However, the accuracy and precision can affect the ability to process and interpret the acquired data. For instance, laser scanning is a very accurate method and can deliver a higher quality result. Meanwhile, 3D photogrammetry using a single camera and Structure From Motion (SFM) have their performance correlated with the image quality. In a typical application, 3D data from reconstruction is preprocessed by a specialist. Then, it is stored for comparison and analyzed over time. The posterior analysis has several challenges associated with the reconstruction process characteristics. Several techniques have been developed to allow the comparison of point cloud captured at different epochs. Therefore, this research work presents a new methodology to perform alignment and comparison of point clouds, namely 3D-CP2, an acronym for 3D Correspondence and Point Projection. This method intends to analyze the point cloud motion to be applied in terrestrial 3D SFM reconstructions. Besides, the technique can also be used in many other related applications. The methodology developed in this work is applied in controlled experiments and real use cases to show its potential for point cloud displacements analysis. The results showed that the proposed method is efficient and can produce results more accurately than the referenced literature.

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Deformation Tracking in 3D Point Clouds Via Statistical Sampling of Direct Cloud-to-Cloud Distances

Cited by 59 publications

References 26 publications

Development of Image Processing for Crack Detection on Concrete Structures through Terrestrial Laser Scanning Associated with the Octree Structure

Development of Image Processing for Crack Detection on Concrete Structures through Terrestrial Laser Scanning Associated with the Octree Structure

Development of a Laboratory for Testing the Accuracy of Terrestrial 3D Laser Scanning Technologies

3D Correspondence and Point Projection Method for Structures Deformation Analysis

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