Axial-Stereo 3-D Optical Metrology for Inner Profile of Pipes Using a Scanning Laser Endoscope

Gong, Yuanzheng; Johnston, Robert A.; Melville, C. David; Seibel, Eric J.

doi:10.1080/15599612.2015.1059535

Cited by 15 publications

(10 citation statements)

References 24 publications

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“…The rapid 3D optical measurement of the internal threads becomes more important nowadays especially in the transportation (automobile) industry since the internally threaded holes in engine are crucial to the safety, longevity and efficiency of modern engines [12]. Our previous work demonstrated that a vision-based 3D reconstruction technique, called axial-stereo vision, could be used for the measurement of small internally threaded holes [13]. However, it only recovered very limited internal profile at the opening of the hole.…”

Section: Methodology and Experimentsmentioning

confidence: 99%

Feature-Based Three-Dimensional Registration for Repetitive Geometry in Machine Vision

Gong

Seibel

2016

J Inform Tech Softw Eng

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As an important step in three-dimensional (3D) machine vision, 3D registration is a process of aligning two or multiple 3D point clouds that are collected from different perspectives together into a complete one. The most popular approach to register point clouds is to minimize the difference between these point clouds iteratively by Iterative Closest Point (ICP) algorithm. However, ICP does not work well for repetitive geometries. To solve this problem, a feature-based 3D registration algorithm is proposed to align the point clouds that are generated by vision-based 3D reconstruction. By utilizing texture information of the object and the robustness of image features, 3D correspondences can be retrieved so that the 3D registration of two point clouds is to solve a rigid transformation. The comparison of our method and different ICP algorithms demonstrates that our proposed algorithm is more accurate, efficient and robust for repetitive geometry registration. Moreover, this method can also be used to solve high depth uncertainty problem caused by little camera baseline in vision-based 3D reconstruction.

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Section: Methodology and Experimentsmentioning

confidence: 99%

Feature-Based Three-Dimensional Registration for Repetitive Geometry in Machine Vision

Gong

Seibel

2016

J Inform Tech Softw Eng

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“…Commonly, non-contact machines emit structured light [6], which is reflected back from the part and recaptured by the unit. Selecting the right device is not easy, and depends largely on the part being measured.…”

Section: Contact and Non-contactmentioning

confidence: 99%

Investigating the quality inspection process of offshore wind turbine blades using B-spline surfaces

et al. 2018

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“…Thus, the quality of the threads and their measured inner profiles are crucial for engine safety, performance, efficiency, and longevity. 16 , 17 There are various sizes of internally threaded holes in the automotive engine block; most of them are smaller than 1 cm diameter. In this study, an internally threaded hole (M8) is used as the metal object to test our approach.…”

Section: Introductionmentioning

confidence: 99%

“…However, this device is still large in relation to the internally threaded blind hole in the engine block and could not accommodate the working range of 15 to 40 mm from the probe tip. 30 In our previous study, 17 an approach was proposed to measure the internal 3-D surfaces with an axial-stereo vision algorithm and a scanning fiber endoscope (SFE) of 1.2-mm outer diameter (OD). 31 A dense point cloud was generated for a few threads from only two forward-view images along the hole axis.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional measurement of small inner surface profiles using feature-based 3-D panoramic registration

Gong

Seibel

2017

Opt. Eng

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Rapid development in the performance of sophisticated optical components, digital image sensors, and computer abilities along with decreasing costs has enabled three-dimensional (3-D) optical measurement to replace more traditional methods in manufacturing and quality control. The advantages of 3-D optical measurement, such as noncontact, high accuracy, rapid operation, and the ability for automation, are extremely valuable for inline manufacturing. However, most of the current optical approaches are eligible for exterior instead of internal surfaces of machined parts. A 3-D optical measurement approach is proposed based on machine vision for the 3-D profile measurement of tiny complex internal surfaces, such as internally threaded holes. To capture the full topographic extent (peak to valley) of threads, a side-view commercial rigid scope is used to collect images at known camera positions and orientations. A 3-D point cloud is generated with multiview stereo vision using linear motion of the test piece, which is repeated by a rotation to form additional point clouds. Registration of these point clouds into a complete reconstruction uses a proposed automated feature-based 3-D registration algorithm. The resulting 3-D reconstruction is compared with x-ray computed tomography to validate the feasibility of our proposed method for future robotically driven industrial 3-D inspection.

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Axial-Stereo 3-D Optical Metrology for Inner Profile of Pipes Using a Scanning Laser Endoscope

Cited by 15 publications

References 24 publications

Feature-Based Three-Dimensional Registration for Repetitive Geometry in Machine Vision

Feature-Based Three-Dimensional Registration for Repetitive Geometry in Machine Vision

Investigating the quality inspection process of offshore wind turbine blades using B-spline surfaces

Three-dimensional measurement of small inner surface profiles using feature-based 3-D panoramic registration

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