camera iphone 8 plus apk Estimating body shape under clothing (CVPR 2017)

Detailed, accurate, human shape estimation from clothed 3D scan sequences

Abstract:
We address the problem of estimating human body shape from 3D scans over time. Reliable estimation of 3D body shape is necessary for many applications including virtual try-on, health monitoring, and avatar creation for virtual reality. Scanning bodies in minimal clothing, however, presents a practical barrier to these applications. We address this problem by estimating body shape under clothing from a sequence of 3D scans. Previous methods that have exploited statistical models of body shape produce overly smooth shapes lacking personalized details. In this paper we contribute a new approach to recover not only an approximate shape of the person, but also their detailed shape. Our approach allows the estimated shape to deviate from a parametric model to fit the 3D scans. We demonstrate the method using high quality 4D data as well as sequences of visual hulls extracted from multi-view images. We also make available a new high quality 4D dataset that enables quantitative evaluation. Our method outperforms the previous state of the art, both qualitatively and quantitatively.

Authors:
Chao Zhang
https://sites.google.com/site/cschaoz...
Sergi Pujades
https://ps.is.tuebingen.mpg.de/person...
Michael J. Black
https://ps.is.tuebingen.mpg.de/person...
Gerard Pons-Moll
https://ps.is.tuebingen.mpg.de/person...

pdf:
https://ps.is.tuebingen.mpg.de/upload...

dataset:
http://buff.is.tue.mpg.de/

related work on clothing capture:
https://youtu.be/dVxj8tzx04U

bibtex:
@inproceedings{shape_under_cloth:CVPR17,
title = {Detailed, accurate, human shape estimation from clothed {3D} scan sequences},
author = {Zhang, Chao and Pujades, Sergi and Black, Michael and Pons-Moll, Gerard},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017}
}

camera iphone 8 plus apk Estimating body shape under clothing (CVPR 2017)
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Science & Technology	Upload TimePublished on 21 Jul 2017

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