In this paper, we propose the first method to allow everyone to easily reconstruct their own 3D inner-body under clothing from a self-captured video with the mean reconstruction error of 0.73cm within 15s, avoiding privacy concerns arising from nudity or minimal clothing.

DOI Link: 
10.21227/gx9c-sm22
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Dataset Files

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[1] Xiongzheng Li, "Inner-Body Dataset", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/gx9c-sm22. Accessed: Apr. 25, 2025.
@data{gx9c-sm22-22,
doi = {10.21227/gx9c-sm22},
url = {http://dx.doi.org/10.21227/gx9c-sm22},
author = {Xiongzheng Li },
publisher = {IEEE Dataport},
title = {Inner-Body Dataset},
year = {2022} }
TY - DATA
T1 - Inner-Body Dataset
AU - Xiongzheng Li
PY - 2022
PB - IEEE Dataport
UR - 10.21227/gx9c-sm22
ER -
Xiongzheng Li. (2022). Inner-Body Dataset. IEEE Dataport. http://dx.doi.org/10.21227/gx9c-sm22
Xiongzheng Li, 2022. Inner-Body Dataset. Available at: http://dx.doi.org/10.21227/gx9c-sm22.
Xiongzheng Li. (2022). "Inner-Body Dataset." Web.
1. Xiongzheng Li. Inner-Body Dataset [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/gx9c-sm22
Xiongzheng Li. "Inner-Body Dataset." doi: 10.21227/gx9c-sm22