Comparison and classification of 3D objects surface point clouds on the example of feet

Grimmer, Rainer; Eskofier, Bjoern M.; Schlarb, Heiko; Hornegger, Joachim

doi:10.1007/s00138-009-0230-y

Cited by 6 publications

(27 citation statements)

References 7 publications

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“…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%

“…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, …”

Section: Resultsmentioning

confidence: 99%

“…Forty-three studies reported analysing mean differences (i.e., t-tests or ANOVAs) [3-5, 8, 9, 11, 22, 32-36, 39-41, 43-45, 47, 48, 50, 52, 54-56, 59-62, 68-72, 75, 76, 80, 83, 86, 87, 89, 91, 93], 24 studies reported analysing associations (i.e., Pearson's r, Spearman's rho, or intraclass correlation coefficients) [5, 9, 11, 16, 20, 22, 32-34, 40, 41, 43, 45, 49, 51, 52, 55, 58, 75, 78, 80, 84, 87, 91], and 20 studies reported performing cluster analysis (i.e., principal components analysis [PCA] or k-means) [11,13,16,18,20,31,32,38,42,51,56,58,63,64,68,73,78,85,87,90].…”

Section: Statistical Analysis Techniquesmentioning

confidence: 99%

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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: Statistical Analysis Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Similar system, but low cost, was later developed by Kouchi and Mochimaru [13]. Such systems are therefore mainly used in research and medical applications [14] to [17].…”

Section: Introductionmentioning

confidence: 99%

“…Similar system, but low cost, was later developed by Kouchi and Mochimaru [13]. Such systems are therefore mainly used in research and medical applications [14] to [17].There are many attempts to overcome the economical drawback of above solution, which is still a gold standard in terms of measurement precision. One direction of development was to eliminate the scanning procedure.…”

mentioning

confidence: 99%

Three-Dimensional Foot Scanning System with a Rotational Laser-Based Measuring Head

Novak

Babnik

Možina

et al. 2014

SV-JME

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Knowledge of the exact three-dimensional (3D) shape of the feet is extremely important for the footwear industry, since the correct fit between the shoe and the foot is an important comfort factor. Badly fitting shoes are the major cause of pain, foot related diseases and injuries [1] to [4]. 3D feet measurement therefore provides state of the art data for: (i) producing an adaptive design of a standard shoe; (ii) personalizing the shoe to individual foot dimensions; (iii) creating a better fitting for standard mass produced shoes and (iv) determining the best-fitting shoe for customers in a shop selling standard shoes. Traditionally, foot measuring techniques used callipers and measuring tapes. Simple mechanical devices were developed later, such as the Brannock device [5] and [6] or the Ritz stick length measuring device [7], which only measures a few of the most important foot dimensions, such as foot length, arch length and foot width. The next step in the foot measurement evolution are two-dimensional foot scanners, which measure the shape and dimensions of the footwear using a photo capturing in a flat plane [8]. The major drawback of these systems is the lack of foot height measurement. So-called two-and-half-dimension scanners, which measure foot contours from the top and side view [9] to [11] enable extraction of foot's length, width and height in any cross-section. But the girths of the crosssections, their curvature and local foot deformation are still not known.The complete 3D scanning systems are the logical progression to the mentioned limitations of the earlier systems. These systems are mainly based on the laser triangulation principle. One of the first such systems was the measuring system made by the VORUM research corporation [12]. It has four laserline projectors and eight cameras, which measure the lateral cross-section of the foot, defined by the projected light plane. The entire 3D foot shape is further scanned by moving the complete projectorscameras assembly along the longitudinal foot axis (from the toes to the heel). Since the complexity of this system is relatively high due to the many cameras and lasers, which should be actuated during the measurement procedure, the price of the system is rather high. Similar system, but low cost, was later developed by Kouchi and Mochimaru [13]. Such systems are therefore mainly used in research and medical applications [14] to [17].There are many attempts to overcome the economical drawback of above solution, which is still a gold standard in terms of measurement precision. One direction of development was to eliminate the scanning procedure. A representative of this technique is described in [18] where the foot is measured by four stationary measuring modules based on laser multiple line triangulation. The methods based on the fringe projection technique are also presented in [19] to [21]. The major improvement regarding the scanning techniques is the shorter measuring time, which in principle enables the study of the foot shape during walking [1...

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Methodological and Statistical Approaches for the Assessment of Foot Shape Using Three-Dimensional Foot Scanning: A Scoping Review

ALLAN,

MUNTEANU,

BONANNO

et al. 2023

Proceedings of 3DBODY.TECH 2023 - 14th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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Objective The objectives of this study were to: (i) review and provide a narrative synthesis of threedimensional (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. ResultsThe 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.

show abstract

Comparison and classification of 3D objects surface point clouds on the example of feet

Cited by 6 publications

References 7 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

Three-Dimensional Foot Scanning System with a Rotational Laser-Based Measuring Head

Methodological and Statistical Approaches for the Assessment of Foot Shape Using Three-Dimensional Foot Scanning: A Scoping Review

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