Review of real-time three-dimensional shape measurement techniques

Wang, Zhenzhou

doi:10.1016/j.measurement.2020.107624

Cited by 87 publications

(43 citation statements)

References 144 publications

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“…It can be concluded that the measurement model instituted by (10) and (11) is effective and accurate, and the influence of the projection distortion on the measurement is reduced, the final measurement accuracy meets the requirements of straightening the gear shaft. Both the accuracy of the calibration board and the detected accuracy of the light stripe center affect the accuracy of the measurement results, as the accuracy of the calibration board is 1μm, then the detected errors of pixel coordinates of the light stripe center are critical factors affecting the accuracy, and the detection accuracy of light stripe center is related to the parameters of the laser and the imaging characteristics of the object surface [24].…”

Section: Resultsmentioning

confidence: 99%

A Vision Measurement Method for the Gear Shaft Radial Runout With Line Structured Light

et al. 2021

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Section: Resultsmentioning

confidence: 99%

A Vision Measurement Method for the Gear Shaft Radial Runout With Line Structured Light

et al. 2021

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“…The incidence of the second movement typology, instead, is directly related to the number of scans required to reconstruct the entire anatomy and the time spent to reposition the scanner around the target surface. Thus, a real-time single-shot 3D scanning technique would be preferable for most situations [ 17 ]. Therefore, the popular structured light method based on the phase-shifting technique cannot be considered properly suitable for human body acquisition, since it needs to project at least three images.…”

Section: Discussionmentioning

confidence: 99%

“…For this reason, in this section, an overview is presented, focusing on techniques at the base of commercial devices and research approaches. A main taxonomy could classify these techniques into three categories [ 17 ]: time-of-flight (TOF) techniques, passive image-based techniques, and active image-based techniques (structured light, SL).…”

Section: 3d Scanning Technologiesmentioning

confidence: 99%

“…For stereo-vision setups, the challenging issue is to find a robust stereo-matching between two views of the same target surface [ 32 ]. For this reason, the accuracy of passive stereo-vision ranges from 0.2% for surfaces with good texture to 9.4% for texture-less surfaces [ 17 ]. In some cases, where possible, the surface texture can be enhanced by spraying speckle patterns on the target surface, and stereo digital image correlation techniques are used to find correspondences between left and right images [ 33 , 34 , 35 ].…”

Section: 3d Scanning Technologiesmentioning

confidence: 99%

“…Overall, structured-light and stereo-vision techniques have very similar measurement accuracy. It can be estimated between 0.01 and 0.5 mm depending on the working volume, or even 0.001 mm for microscopic applications [ 17 ]. For a deeper insight into structured light techniques for real-time 3D shape acquisitions, the reader can refer to [ 64 , 65 , 66 ].…”

Section: 3d Scanning Technologiesmentioning

confidence: 99%

See 2 more Smart Citations

Sensor Architectures and Technologies for Upper Limb 3D Surface Reconstruction: A Review

Paoli

Neri

Razionale

et al. 2020

Sensors

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3D digital models of the upper limb anatomy represent the starting point for the design process of bespoke devices, such as orthoses and prostheses, which can be modeled on the actual patient’s anatomy by using CAD (Computer Aided Design) tools. The ongoing research on optical scanning methodologies has allowed the development of technologies that allow the surface reconstruction of the upper limb anatomy through procedures characterized by minimum discomfort for the patient. However, the 3D optical scanning of upper limbs is a complex task that requires solving problematic aspects, such as the difficulty of keeping the hand in a stable position and the presence of artefacts due to involuntary movements. Scientific literature, indeed, investigated different approaches in this regard by either integrating commercial devices, to create customized sensor architectures, or by developing innovative 3D acquisition techniques. The present work is aimed at presenting an overview of the state of the art of optical technologies and sensor architectures for the surface acquisition of upper limb anatomies. The review analyzes the working principles at the basis of existing devices and proposes a categorization of the approaches based on handling, pre/post-processing effort, and potentialities in real-time scanning. An in-depth analysis of strengths and weaknesses of the approaches proposed by the research community is also provided to give valuable support in selecting the most appropriate solution for the specific application to be addressed.

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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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Review of real-time three-dimensional shape measurement techniques

Cited by 87 publications

References 144 publications

A Vision Measurement Method for the Gear Shaft Radial Runout With Line Structured Light

A Vision Measurement Method for the Gear Shaft Radial Runout With Line Structured Light

Sensor Architectures and Technologies for Upper Limb 3D Surface Reconstruction: A Review

Optical metrology for digital manufacturing: a review

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