- 3.3Impact Factor
- 6.7CiteScore
- 16 daysTime to First Decision
Journal of Imaging, Volume 7, Issue 12
December 2021 - 33 articles
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Cover Story: In this work, we address the problem of estimating a 3D body from single images of people wearing loose clothes. To this aim, we make use of the SMPL parametric body model and observe that shape parameters encoding the body shape should not change regardless of whether the subject is wearing clothes or not. To improve shape estimation under clothing, we train a deep network to regress the shape parameters from a single image. To increase robustness to clothing, we build our training dataset by associating the shape parameters of a “minimally clothed” person to other samples of the same person wearing looser clothes.View this paper
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