Automatic labelling of anatomical landmarks on 3D body scans

Lovato, Christian; Castellani, Umberto; Zancanaro, Carlo; Giachetti, Andrea

doi:10.1016/j.gmod.2014.07.001

Cited by 12 publications

(4 citation statements)

References 25 publications

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“…The main emphasis is placed on scanners that are able to compensate for movement during the scanning itself. No high demands are placed on the accuracy of scanning, as is the case with technical applications [1]. ISSN 0301-5491 (Print), ISSN 2336-5552 (Online)…”

Section: D Scannermentioning

confidence: 99%

Application of the Artec Eva Scanner for Orthotics in Practice

et al. 2020

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Tento článok sa týka spôsobov, ktoré sú k dispozícii na skeneri Artec Eva v oblasti protetiky a protetiky so zameraním na tvár a krk. Metodika je rozdelená do 5 základných skupín - príprava prostredia, skener, predmety, skenovanie a 3D modely. Praktická časť obsahuje 3D vybrané vybrané objekty, ktoré obsahujú ukážky iných druhov, konkrétne oblasti dosahu vlasov, brady a oblasti očí.

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Section: D Scannermentioning

confidence: 99%

Application of the Artec Eva Scanner for Orthotics in Practice

et al. 2020

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“…The work in [9] also used a 3D body scanner to digitize the whole body and then employed software to detect and recognize the specific anatomical location. Fig.…”

Section: Related Workmentioning

confidence: 99%

An evaluation of automatic marking of anatomical landmarks for back surface deformity analysis

Parittotakapron

Sira-uksorn

Chaichanadee

et al. 2016

2016 7th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES)

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Back deformity studies require marks or labels which are attached on patient's body in order to measure and evaluate the level of severity. Manually marking of anatomical landmarks on two dimensional (2D) image can reduce timeconsuming in traditional process but there is difficulty in 2D-visually locating the anatomical landmarks in some patients. Currently, 3D scanners are inexpensive and become widespread in various applications. The advantage of depth information from 3D scanner can assist to locate anatomical landmarks for back surface deformity analysis. In this study, automatically marking methods are assessed and compared among themselves and manual method. The experiments are tested on both phantom and humans.

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“…Previous works assume a standard body pose [7,8] or the existence of guiding landmarks defined manually [9,10]. The problem of automatically estimating consistent body landmarks has been tackled in the literature, but requires prior annotation of a dataset of 3D scans [11] or shows limited robustness to pose variations and arbitrary meshing [11,12]. Recently, we have addressed these shortcomings in [13,1] by proposing a fully automatic pipeline for body landmark estimation and 3D body model fitting (Fig 2a), which is more robust to pose variations and is independent of the meshing.…”

Section: Introductionmentioning

confidence: 99%

Bodyfitr: Robust Automatic 3D Human Body Fitting

Saint

Shabayek

Cherenkova

et al. 2019

2019 IEEE International Conference on Image Processing (ICIP)

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This paper proposes BODYFITR, a fully automatic method to fit a human body model to static 3D scans with complex poses. Automatic and reliable 3D human body fitting is necessary for many applications related to healthcare, digital ergonomics, avatar creation and security, especially in industrial contexts for large-scale product design. Existing works either make prior assumptions on the pose, require manual annotation of the data or have difficulty handling complex poses. This work addresses these limitations by providing a novel automatic fitting pipeline with carefully integrated building blocks designed for a systematic and robust approach. It is validated on the 3DBodyTex dataset, with hundreds of highquality 3D body scans, and shown to outperform prior works in static body pose and shape estimation, qualitatively and quantitatively. The method is also applied to the creation of realistic 3D avatars from the high-quality texture scans of 3DBodyTex, further demonstrating its capabilities.

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Automatic labelling of anatomical landmarks on 3D body scans

Cited by 12 publications

References 25 publications

Application of the Artec Eva Scanner for Orthotics in Practice

Application of the Artec Eva Scanner for Orthotics in Practice

An evaluation of automatic marking of anatomical landmarks for back surface deformity analysis

Bodyfitr: Robust Automatic 3D Human Body Fitting

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