The development of a low-cost photogrammetry-based 3D hand scanner

Yang, Yuping; Xu, Jun; Elkhuizen, Willemijn S.; Song, Yu

doi:10.1016/j.ohx.2021.e00212

Cited by 11 publications

(11 citation statements)

References 18 publications

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“…The digital twin technique for scan accuracy evaluation used in this paper assumed that the physical 3D model and digital model were identical. Papers from different disciplines have used a meteorological grade 3D scanner to determine a reference topography that scans from other devices that can be compared with [36][37][38][39]. Both methodologies have merit, and inherent error in either production or digitisation.…”

Section: Discussionmentioning

confidence: 99%

The Use of Smartphone Photogrammetry to Digitise Transtibial Sockets: Optimisation of Method and Quantitative Evaluation of Suitability

Cullen

Mackay

Mohagheghi

et al. 2021

Sensors

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The fit of a lower limb prosthetic socket is critical for user comfort and the quality of life of lower limb amputees. Sockets are conventionally produced using hand-crafted patient-based casting techniques. Modern digital techniques offer a host of advantages to the process and ultimately lead to improving the lives of amputees. However, commercially available scanning equipment required is often expensive and proprietary. Smartphone photogrammetry could offer a low cost alternative, but there is no widely accepted imaging technique for prosthetic socket digitisation. Therefore, this paper aims to determine an optimal imaging technique for whole socket photogrammetry and evaluate the resultant scan measurement accuracy. A 3D printed transtibial socket was produced to create digital and physical twins, as reference models. The printed socket was photographed from 360 positions and simplified genetic algorithms were used to design a series of experiments, whereby a collection of photos were processed using Autodesk ReCap. The most fit technique was used to assess accuracy. The accuracy of the socket wall volume, surface area and height were 61.63%, 99.61% and 99.90%, respectively, when compared to the digital reference model. The scanned model had a wall thickness ranging from 2.075 mm at the top to 7.758 mm towards the base of the socket, compared to a consistent thickness of 2.025 mm in the control model. The technique selected did not show sufficient accuracy for clinical application due to the degradation of accuracy nearer to the base of the socket interior. However, using an internal wall thickness estimation, scans may be of sufficient accuracy for clinical use; assuming a uniform wall thickness.

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Section: Discussionmentioning

confidence: 99%

The Use of Smartphone Photogrammetry to Digitise Transtibial Sockets: Optimisation of Method and Quantitative Evaluation of Suitability

Cullen

Mackay

Mohagheghi

et al. 2021

Sensors

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show abstract

“…As an extra validation, we used a hand model in [6] as shown in FIGURE 9. According to the figure, the 3D printed hand, the Artec Eva scan of the hand, the used source mesh, and the output of our scanner are depicted in FIGURE 9(a), (b), (c), and (d) respectively.…”

Section: Hand Modelmentioning

confidence: 99%

“…The concept of body measurement started with using measurement tape, which was time-consuming and required considerable effort [5]. Advancement in technology introduces the 3D scanning tool-kits [6][7][8][9][10][11], which improves the effectiveness and efficiency of measuring the body shapes [12,13]. However, the 3D body measuring techniques [14,15] and scanners only allowed the collecting data in static postures, e.g., hand posture in [16,17].…”

Section: Introductionmentioning

confidence: 99%

Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration

Tajdari

Kwa

Christiaan³

et al. 2022

Volume 2: 42nd Computers and Information in Engineering Conference (CIE)

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Fitting apparel and apparel in performing different activities is essential for the functional yet comfortable experience of the user. 4D scans, i.e. 3D scans in continuous timestamps, of the body (part) in performing those activities are the basis for the design of garments/apparel in 4D. In this paper, we proposed a semi-automatic workflow for constructing 4D scans of the body parts with the emphasis on registering noisy scans at a given timestamp. Continuous 3D scans regarding the moving body parts are captured first from different depth cameras from different view angles. In a given timestamp, the collected 3D scans are roughly aligned to a template using the rigid Iterative Closest Points (ICP) algorithm. Then these scans are further registered using a newly proposed non-rigid Iterative Closest-Farthest Points (ICFP) algorithm, in which correspondences between the source and the target are established by either closest or farthest points based on the newly defined logical distance concept and the probability theory. Experimental results indicated that the ICFP method is robust against noise and the scanning accuracy can be as high as 3.4 %. It also reveals that, for the human foot, the differences of ball width and ball angles between the loaded and the unloaded situation can be as large as 8 mm and 2 degrees, respectively. This highlights the importance of using 4D scan in designing garments and apparel.

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“…However, the quality of the scan (Fig. 2(b)) strongly depends on the cooperation of the subject and researchers [9]. To solve this problem, researchers/practitioners sometime use another strategy which is to scan the negative shape, e.g.…”

Section: D Scanning Of Human Bodymentioning

confidence: 99%

“…Figure3: 3D hand reconstruction using photogrammetry (blue planes are identified camera image planes), courtesy of[9] …”

mentioning

confidence: 99%

Personalized Product Design Through Digital Fabrication

Minnoye

Tajdari

Doubrovski

et al. 2022

Volume 2: 42nd Computers and Information in Engineering Conference (CIE)

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Personalized designs bring added value to the products and the users. Meanwhile, they also pose challenges to the product design process as each product differs. In this paper, with the focus on personalized fit, we present an overview as well as details of the personalized design process based on design practice. The general workflow of personalized product design is introduced first. Then different steps in the workflow such as human data/parameters acquisition, computational design, design for digital fabrication, and product evaluation are presented. Tools and methods that are often used in different steps in the process are also outlined where in human data acquisition, 3D scanning, and digital human models are addressed. For computational design, the use of computational thinking tools such as abstraction, decomposition, pattern recognition and algorithms are discussed. In design for digital fabrication, additive manufacturing methods (e.g. FDM), and their requirements on the design are highlighted. For product evaluation, both functional evaluation and usability evaluation are considered and the evaluation results can be the starting point of the next design iteration. Finally, several case studies are presented for a better understanding of the workflow, the importance of different steps in the workflow and the deviations in the approach regarding different contexts. In conclusion, we intend to provide designers a holistic view of the design process in designing personalized products as well as help practitioners trigger innovations regarding each step of the process.

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The development of a low-cost photogrammetry-based 3D hand scanner

Cited by 11 publications

References 18 publications

The Use of Smartphone Photogrammetry to Digitise Transtibial Sockets: Optimisation of Method and Quantitative Evaluation of Suitability

The Use of Smartphone Photogrammetry to Digitise Transtibial Sockets: Optimisation of Method and Quantitative Evaluation of Suitability

Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration

Personalized Product Design Through Digital Fabrication

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