Characterisation of a multi-view fringe projection system based on the stereo matching of rectified phase maps

Shaheen, Amrozia; Sims-Waterhouse, Danny; Bointon, Patrick; Takushima, Shigeru; Piano, Samanta; Leach, Richard

doi:10.1088/1361-6501/abd445

Cited by 13 publications

(12 citation statements)

References 47 publications

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“…A traditional point cloud comparison method is cloud-tocloud (C2C), which does not require meshing data or calculation of normal vectors. The distances are determined between a point cloud regarded as a reference and a target point cloud [45,46]. However, the distance measured using this method is sensitive to the roughness, outliers and point spacing distribution of point clouds.…”

Section: Related Methods For Processing Point Cloudsmentioning

confidence: 99%

Rapid assessment of slope deformation in 3D point cloud considering feature-based simplification and deformed area extraction

He¹,

Zhou²,

Hu³

et al. 2023

Meas. Sci. Technol.

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Calculating deformation values and determining deformation areas are essential for slope monitoring and safety management. Recently, terrestrial laser scanning has been widely used for deformation monitoring owing to its speed and efficiency. However, handling a large amount of point cloud data to obtain the deformed area is still challenging. To evaluate slope deformation information rapidly, this study proposes a simplification algorithm for point cloud data based on multi-parameter feature preservation. The proposed method remains feature points (i.e., inflection points, edge points) and simplifies data with the octree structure. Additionally, a method based on cloud-to-mesh for displacement is conducted where the winding number is introduced for the signed function. Next, extract the deformed area over the level of detection by density-based spatial clustering of applications with noise clustering algorithm. To verify the reduction method, two types of slope field data are used for experiments; the results reveal that the proposed point cloud approach is superior to the conventional algorithms. Further, the highway slope in Mianyang is selected as a case study to validate the performance of the proposed method. The entire monitoring area is stable with a deformation of approximately 0.43 mm, and only four regions are deformed over the study period. When the mean displacement value is considered in different deformation regions, the minimum deformation is –82.02 mm, and the maximum deformation is 85.31 mm. Moreover, comparative experiments on deformation calculation are conducted and reveal the superior performance of the proposed method.

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Section: Related Methods For Processing Point Cloudsmentioning

confidence: 99%

Rapid assessment of slope deformation in 3D point cloud considering feature-based simplification and deformed area extraction

He¹,

Zhou²,

Hu³

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

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“…As an example, a frequent issue is represented by the inherent limitation requiring optical solutions to operate successfully within the line-of-sight, making the acquisition of large and/or complex structures from a single measurement position impossible [88,104] (see Fig. 7).…”

Section: Geometric Complexity Part Size and Surface Texture Variationmentioning

confidence: 99%

Optical metrology for digital manufacturing: a review

Catalucci

Thompson

Piano

et al. 2022

Int J Adv Manuf Technol

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With the increasing adoption of Industry 4.0, optical metrology has experienced a significant boom in its implementation, as an ever-increasing number of manufacturing processes are overhauled for in-process measurement and control. As such, optical metrology for digital manufacturing is currently a hot topic in manufacturing research. Whilst contact coordinate measurement solutions have been adopted for many years, the current trend is to increasingly exploit the advantages given by optical measurement technologies. Smart automated non-contact inspection devices allow for faster cycle times, reducing the inspection time and having a continuous monitoring of process quality. In this paper, a review for the state of the art in optical metrology is presented, highlighting the advantages and impacts of the integration of optical coordinate and surface texture measurement technologies in digital manufacturing processes. Also, the range of current software and hardware technologies for digital manufacturing metrology is discussed, as well as strategies for zero-defect manufacturing for greater sustainability, including examples and in-depth discussions of additive manufacturing applications. Finally, key current challenges are identified relating to measurement speed and data-processing bottlenecks; geometric complexity, part size and surface texture; user-dependent constraints, harsh environments and uncertainty evaluation.

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“…The most significant complexity of multi-view instruments is the structural relationship between the components (multi-camera, multi-cameraprojector, etc) and their individual characterisation [115]. In the last decade, several authors have proposed methods to solve the issues surrounding multi-view characterisation.…”

Section: Characterisation Approachesmentioning

confidence: 99%

“…Gai et al [123] proposed a user-friendly characterisation method for multi-view fringe projection, where digital fringe projection and phase maps are used to acquire global characterisation information. Similarly, Shaheen et al [115] proposed a characterisation approach for a multi-view fringe projection system based on correspondences between rectified unwrapped stereo phase maps, where the matched phase values between the stereo phase images are triangulated to acquire 3D point clouds. The developed setup comprised of two stereo pairs (four DSLR cameras and two projectors) is shown in figure 3.…”

Section: Characterisation Approachesmentioning

confidence: 99%

Smart optical coordinate and surface metrology

Catalucci

Thompson

Eastwood

et al. 2022

Meas. Sci. Technol.

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Manufacturing has recently experienced increased adoption of optimised and fast solutions for checking product quality during fabrication, allowing for manufacturing times and costs to be significantly reduced. Due to the integration of machine learning algorithms, advanced sensors and faster processing systems, smart instruments can autonomously plan measurement pipelines, perform decisional tasks and trigger correctional actions as required. In this paper, we summarise the state of the art in smart optical metrology, covering the latest advances in integrated intelligent solutions in optical coordinate and surface metrology, respectively for the measurement of part geometry and surface texture. Within this field, we include the use of a priori knowledge and implementation of machine learning algorithms for measurement planning optimisation. We also cover the development of multi-sensor and multi-view instrument configurations to speed up the measurement process, as well as the design of novel feedback tools for measurement quality evaluation.

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Characterisation of a multi-view fringe projection system based on the stereo matching of rectified phase maps

Cited by 13 publications

References 47 publications

Rapid assessment of slope deformation in 3D point cloud considering feature-based simplification and deformed area extraction

Rapid assessment of slope deformation in 3D point cloud considering feature-based simplification and deformed area extraction

Optical metrology for digital manufacturing: a review

Smart optical coordinate and surface metrology

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