Reconstruction of 3D Foot Model from Video Captured Using Smartphone Camera

Zhong, Yueqi

doi:10.3993/jfbim00145

Cited by 4 publications

(22 citation statements)

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“…Several study designs were utilised in the literature, these included: 51 comparisons of mean differences between groups [ 3 , 5 , 8 , 9 , 22 , 30 – 35 , 38 – 41 , 43 – 45 , 47 – 50 , 52 – 62 , 66 , 68 , 70 , 72 , 75 – 78 , 80 , 83 , 85 – 89 , 93 – 95 ], 20 cluster/principal component analyses [ 5 , 11 , 13 , 16 , 18 , 31 , 32 , 38 , 42 , 51 , 58 , 63 , 64 , 68 , 73 , 79 , 82 , 85 , 87 , 90 ], 14 reliability studies [ 20 – 22 , 34 , 37 , 39 , 48 , 49 , 53 , 75 , 78 , 88 , 90 , 91 ], 10 validation studies [ 20 , 21 , 39 , 40 , 46 , 48 , 53 , 65 ,…”

Section: Resultsmentioning

confidence: 99%

“…Fifty-three studies reported mean age (ranging from 8 to 75 years) [ 3 , 4 , 8 , 9 , 11 , 13 , 16 , 18 , 22 , 30 – 36 , 38 , 40 , 43 – 46 , 48 , 50 , 51 , 54 – 56 , 58 , 59 , 61 – 64 , 67 – 72 , 74 , 75 , 77 , 82 – 84 , 86 – 90 , 93 , 94 ], and 51 reported age standard deviation [ 3 , 4 , 8 , 9 , 11 , 13 , 16 , 18 , 22 , 30 – 36 , 38 , 40 , 43 – 46 , 48 , 50 , 51 , 54 – 56 , 58 , 59 , 61 – 64 , 68 – 72 , 74 , 75 , 77 , 82 – 84 , 86 – 90 , 94 ]. Fifty-four studies reported minimum age (ranging from 2 to 69 y...…”

Section: Resultsmentioning

confidence: 99%

“…2 ). Sixty-five studies measured foot length [ 3 – 5 , 8 , 9 , 11 , 13 , 20 – 22 , 30 – 38 , 40 – 44 , 46 – 50 , 53 , 55 – 64 , 66 – 77 , 79 – 82 , 84 , 85 , 87 – 89 , 91 , 93 – 95 ], 64 studies measured ball width/breadth [ 3 – 5 , 9 , 11 , 13 , 20 – 22 , 30 – 35 , 37 , 39 – 44 , 46 – 50 , 53 , 55 – 64 , 66 – 77 , 79 , 81 – 89 , 91 , 93 – 95 ], 51 studies measured ball girth [ 3 , 5 , 11 , 22 , 30 – 33 , 37 , 38 , 40 – 44 , 47 – 49 , 53 , 55 – 57 , 59 , …”

Section: Resultsmentioning

confidence: 99%

“…The included studies originated from 17 different countries: China ( n = 41) [4, 11, 30–68], Japan ( n = 6) [16, 44, 69–72], Germany ( n = 4) [13, 73–75], Romania ( n = 3) [8, 76, 77], South Korea ( n = 3) [78–80], Spain ( n = 3) [22, 81, 82], United States ( n = 3) [83–85], Italy ( n = 3) [20, 21, 86], India ( n = 2) [5, 87], Malaysia ( n = 2) [3, 88], New Zealand ( n = 2) [35, 62], Australia ( n = 2) [89, 90], Belgium ( n = 2) [18, 91], United Kingdom ( n = 2) [92, 93], Canada ( n = 1) [94], Iran ( n = 1) [9], Russia ( n = 1) [47], Slovenia ( n = 1) [95], and Sweden ( n = 1) [75]. Several study designs were utilised in the literature, these included: 51 comparisons of mean differences between groups [3, 5, 8, 9, 22, …”

Section: Resultsmentioning

confidence: 99%

“…Thirty-nine studies reported performing scans bilaterally [3, 5, 9, 11, 13, 18, 20-22, 30, 31, 33, 37, 40, 43, 44 [67,85,90]. Forty studies reported scanning the foot in a barefoot condition [3, 9, 16, 20-22, 30, 32-34, 36, 39, 40, 43-45, 47, 48, 52-55, 59, 64-72, 74, 81, 83, 84, 86, 92, 94, 95], while one study reported the use of socks/hosiery [46]. Twenty-eight studies reported the number of scans per foot (ranging from two to 15 scans) [4,16,18,21,22,33,34,36,39 [20,30,46,47,52,53,75,79,[92][93][94][95].…”

Section: Scanning Conditionsmentioning

confidence: 99%

See 4 more Smart Citations

Methodological and statistical approaches for the assessment of foot shape using three‐dimensional foot scanning: a scoping review

Allan

Munteanu

Bonanno

et al. 2023

Journal of Foot and Ankle Research

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Objective The objectives of this study were to: (i) review and provide a narrative synthesis of three-dimensional (3D) foot surface scanning methodological and statistical analysis protocols, and (ii) develop a set of recommendations for standardising the reporting of 3D foot scanning approaches. Methods A systematic search of the SCOPUS, ProQuest, and Web of Science databases were conducted to identify papers reporting 3D foot scanning protocols and analysis techniques. To be included, studies were required to be published in English, have more than ten participants, and involve the use of static 3D surface scans of the foot. Papers were excluded if they reported two-dimensional footprints only, 3D scans that did not include the medial arch, dynamic scans, or derived foot data from a full body scan. Results The search yielded 78 relevant studies from 17 different countries. The available evidence showed a large variation in scanning protocols. The subcategories displaying the most variation included scanner specifications (model, type, accuracy, resolution, capture duration), scanning conditions (markers, weightbearing, number of scans), foot measurements and definitions used, and statistical analysis approaches. A 16-item checklist was developed to improve the consistency of reporting of future 3D scanning studies. Conclusion 3D foot scanning methodological and statistical analysis protocol consistency and reporting has been lacking in the literature to date. Improved reporting of the included subcategories could assist in data pooling and facilitate collaboration between researchers. As a result, larger sample sizes and diversification of population groups could be obtained to vastly improve the quantification of foot shape and inform the development of orthotic and footwear interventions and products.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Scanning Conditionsmentioning

confidence: 99%

See 3 more Smart Citations

Methodological and statistical approaches for the assessment of foot shape using three‐dimensional foot scanning: a scoping review

Allan

Munteanu

Bonanno

et al. 2023

Journal of Foot and Ankle Research

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Automatic foot scanning and measurement based on multiple RGB-depth cameras

Duan

et al. 2016

Textile Research Journal

Self Cite

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In this paper, a system with six depth cameras was built to scan both feet simultaneously. An improved calibration method based on a T-shaped checkerboard was used to calculate the extrinsic parameters of the cameras. T-shaped virtual checkerboards were introduced to further fine-tune the accuracy of calibration based on the iterative closest point algorithm. Based on the proposed foot scanner, a complete procedure was introduced to measure the foot automatically by locating the anatomical landmarks without manual intervention. Various experiments were presented to validate the performance of the scanner and the measurements. The results verified that the proposed methods were efficient and versatile for three-dimensional foot scanning and measurement.

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Foot shape prediction using elliptical Fourier analysis

et al. 2017

Textile Research Journal

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In this paper, a new method was proposed to establish the relationship between three-dimensional (3D) foot shapes and their two-dimensional (2D) foot silhouettes, through which a complete 3D foot shape can be predicted by simply inputting its two 2D silhouettes. 3D foot scans of 80 participants were randomly selected as the training set, and those of another 20 participants were used as the testing set. Elliptical Fourier analysis (EFA) and principle component analysis (PCA) were adopted to parameterize the 3D foot shapes. A linear regressive model was then developed to predict the 3D foot shape with the foot silhouettes. Experiment results indicated individual 3D foot shape can be predicted with a mean error between 1.21 and 1.27 mm, which can provide enough accuracy for the fit evaluation of footwear.

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Reconstruction of 3D Foot Model from Video Captured Using Smartphone Camera

Cited by 4 publications

References 0 publications

Methodological and statistical approaches for the assessment of foot shape using three‐dimensional foot scanning: a scoping review

Methodological and statistical approaches for the assessment of foot shape using three‐dimensional foot scanning: a scoping review

Automatic foot scanning and measurement based on multiple RGB-depth cameras

Foot shape prediction using elliptical Fourier analysis

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