Scipediacontent: Scipediacontent moved page Draft Content 899472495 to Aouada et al 2018a

2021-02-01T18:35:35Z

Scipediacontent moved page Draft Content 899472495 to Aouada et al 2018a

Scipediacontent: Created page with " == Abstract == In this paper, a dataset, named 3DBodyTex, of static 3D body scans with high-quality texture information is presented along with a fully automatic method for..."

2021-02-01T18:35:32Z

Created page with " == Abstract == In this paper, a dataset, named 3DBodyTex, of static 3D body scans with high-quality texture information is presented along with a fully automatic method for..."

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== Abstract ==

In this paper, a dataset, named 3DBodyTex, of static 3D body scans with high-quality texture information is presented along with a fully automatic method for body model fitting to a 3D scan. 3D shape modelling is a fundamental area of computer vision that has a wide range of applications in the industry. It is becoming even more important as 3D sensing technologies are entering consumer devices such as smartphones. As the main output of these sensors is the 3D shape, many methods rely on this information alone. The 3D shape information is, however, very high dimensional and leads to models that must handle many degrees of freedom from limited information. Coupling texture and 3D shape alleviates this burden, as the texture of 3D objects is complementary to their shape. Unfortunately, high-quality texture content is lacking from commonly available datasets, and in particular in datasets of 3D body scans. The proposed 3DBodyTex dataset aims to fill this gap with hundreds of high-quality 3D body scans with high-resolution texture. Moreover, a novel fully automatic pipeline to fit a body model to a 3D scan is proposed. It includes a robust 3D landmark estimator that takes advantage of the high-resolution texture of 3DBodyTex. The pipeline is applied to the scans, and the results are reported and discussed, showcasing the diversity of the features in the dataset.

== Original document ==

The different versions of the original document can be found in:

* [https://orbilu.uni.lu/bitstream/10993/36414/1/saint_et_al-3dbodytex-3dv_2018.pdf https://orbilu.uni.lu/bitstream/10993/36414/1/saint_et_al-3dbodytex-3dv_2018.pdf] under the license https://creativecommons.org/licenses/by-nc-sa

* [http://orbilu.uni.lu/handle/10993/36414 http://orbilu.uni.lu/handle/10993/36414],
: [https://cvdatasets.uni.lu https://cvdatasets.uni.lu] under the license cc-by-nc-sa

* [http://xplorestaging.ieee.org/ielx7/8490644/8490938/08491001.pdf?arnumber=8491001 http://xplorestaging.ieee.org/ielx7/8490644/8490938/08491001.pdf?arnumber=8491001],
: [http://dx.doi.org/10.1109/3dv.2018.00063 http://dx.doi.org/10.1109/3dv.2018.00063]

* [https://orbilu.uni.lu/handle/10993/36414 https://orbilu.uni.lu/handle/10993/36414],
: [https://orbilu.uni.lu/bitstream/10993/36414/1/saint_et_al-3dbodytex-3dv_2018.pdf https://orbilu.uni.lu/bitstream/10993/36414/1/saint_et_al-3dbodytex-3dv_2018.pdf],
: [https://dblp.uni-trier.de/db/conf/3dim/3dv2018.html#SaintASCGAO18 https://dblp.uni-trier.de/db/conf/3dim/3dv2018.html#SaintASCGAO18],
: [https://academic.microsoft.com/#/detail/2898078621 https://academic.microsoft.com/#/detail/2898078621]

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Aouada et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 899472495 to Aouada et al 2018a

Scipediacontent: Created page with " == Abstract == In this paper, a dataset, named 3DBodyTex, of static 3D body scans with high-quality texture information is presented along with a fully automatic method for..."