Quantitative Comparison of Manual vs. 3D Scanner Human Body Measurements

Koval, Andrew

doi:10.15221/20.35

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…However, this does not indicate that the assessment methods are insufficient for real-world applications [28]. Additionally, there are commercially available 3D scanners with 3D anthropometry software [86] that claim to obtain results lower than the AE and can hence be used in applications that require greater accuracies, such as medical and surveying applications.…”

Section: B Methodology Comparisonmentioning

confidence: 99%

A Review of Body Measurement Using 3D Scanning

et al. 2021

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The understanding of body measurements and body shapes in and between populations is important and has many applications in medicine, surveying, the fashion industry, fitness, and entertainment. Body measurement using 3D surface scanning technologies is faster and more convenient than measurement with more traditional methods and at the same time provides much more data, which requires automatic processing. A multitude of 3D scanning methods and processing pipelines have been described in the literature, and the advent of deep learning-based processing methods has generated an increased interest in the topic. Also, over the last decade, larger public 3D human scanning datasets have been released. This paper gives a comprehensive survey of body measurement techniques, with an emphasis on 3D scanning technologies and automatic data processing pipelines. An introduction to the three most common 3D scanning technologies for body measurement, passive stereo, structured light, and time-of-flight, is provided, and their merits w.r.t. body measurement are discussed. Methods described in the literature are discussed within the newly proposed framework of five common processing stages: preparation, scanning, feature extraction, model fitting, and measurement extraction. Synthesizing the analyzed prior works, recommendations on specific 3D body scanning technologies and the accompanying processing pipelines for the most common applications are given. Finally, an overview of about 80 currently available 3D scanners manufactured by about 50 companies, as well as their taxonomy regarding several key characteristics, is provided in the Appendix.

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Section: B Methodology Comparisonmentioning

confidence: 99%

A Review of Body Measurement Using 3D Scanning

et al. 2021

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“…In [33], a comparison of the accuracy of body parameter measurement with the use of scanning systems and manual methods was made. It shows that, using the correct approach, one can achieve greater measurement accuracy using the analyzed automated systems.…”

Section: State Of the Art Reviewmentioning

confidence: 99%

Mechatronic Design and Experimental Research of an Automated Photogrammetry-Based Human Body Scanner

Trojnacki¹,

Dąbek

Jaroszek³

2023

Sensors

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The article concerns the mechatronic design and experimental investigations of the HUBO automated human body scanning system. Functional problems that should be solved by using the developed scanning system are defined. These include reducing the number of sensors used while eliminating the need to rotate a human and ensuring the automation of the scanning process. Research problems that should be the subject of experimental research are defined. The current state of the art in the field of systems and techniques for scanning the human figure is described. The functional and technical assumptions for the HUBO scanning system are formulated. The mechanical design of the scanner, the hardware and information system architectures as well as the user’s mobile application are presented. The method of operation of the scanning system and its innovative features are discussed. It is demonstrated that the developed solution of the scanning system allows the identified problems to be overcome. The methodology of the experimental research of the scanning system based on the photogrammetry technique is described. The results of laboratory studies with the use of dummies and experimental research with human participation are presented. The scope of the research carried out allows answers to the identified research problems related to the scanning of the human figure using the photogrammetry technique to be obtained. As part of laboratory tests using a measuring dummy, a mean error of 0.65 mm and standard deviation of the mean of 0.65 mm were obtained for the best scanner configuration. Research with human participation was carried out for the scanner version, in which the scanning time was 30 s, with the possibility of its reduction to 15 s. The results of studies using realistic dummies and with human participation were compared using the root mean square error parameter (RMSE) provided by the AliceVision framework, which was available for all analyzed objects. As a result, it was observed that these results are comparable, i.e., the RMSE parameter is equal to about 1 px.

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“…An important question of a practical nature is, how accurate are the measurements with scanning systems compared to manual measurements? As indicated in the paper [ 20 ], when using automated measurement based on 3D scanners, the measurement uncertainty is usually superior than in the manual method compliant with ISO 20685. In the case of some of the dimensions of the figure discussed in this publication, the measurement uncertainty was initially worse, but after taking into account the constant offset, better results were achieved in each case, compared to the manual method.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Influence of the Geometrical Parameters of the Body Scanner on the Accuracy of Reconstruction of the Human Figure Using the Photogrammetry Technique

Trojnacki¹,

Dąbek

Jaroszek³

2022

Sensors

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This article concerns the research of the HUBO full-body scanner, which includes the analysis and selection of the scanner’s geometrical parameters in order to obtain the highest possible accuracy of the reconstruction of a human figure. In the scanner version analyzed in this paper, smartphone cameras are used as sensors. In order to process the collected photos into a 3D model, the photogrammetry technique is applied. As part of the work, dependencies between the geometrical parameters of the scanner are derived, which allows to significantly reduce the number of degrees of freedom in the selection of its geometrical parameters. Based on these dependencies, a numerical analysis is carried out, as a result of which the initial values of the geometrical parameters are pre-selected and distribution of scanner cameras is visualized. As part of the experimental research, the influence of selected scanner parameters on the scanning accuracy is analyzed. For the experimental research, a specially prepared dummy was used instead of the participation of a real human, which allowed to ensure the constancy of the scanned object. The accuracy of the object reconstruction was assessed in relation to the reference 3D model obtained with a scanner of superior measurement uncertainty. On the basis of the conducted research, a method for the selection of the scanner’s geometrical parameters was finally verified, leading to the arrangement of cameras around a human, which guarantees high accuracy of the reconstruction. Additionally, to quantify the results, the quality rates were used, taking into account not only the obtained measurement uncertainty of the scanner, but also the processing time and the resulting efficiency.

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Quantitative Comparison of Manual vs. 3D Scanner Human Body Measurements

Cited by 3 publications

References 5 publications

A Review of Body Measurement Using 3D Scanning

A Review of Body Measurement Using 3D Scanning

Mechatronic Design and Experimental Research of an Automated Photogrammetry-Based Human Body Scanner

Analysis of the Influence of the Geometrical Parameters of the Body Scanner on the Accuracy of Reconstruction of the Human Figure Using the Photogrammetry Technique

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