@inproceedings{conf/cvpr/AlldieckMXTP18,
  added-at = {2023-11-12T00:00:00.000+0100},
  author = {Alldieck, Thiemo and Magnor, Marcus A. and Xu, Weipeng and Theobalt, Christian and Pons-Moll, Gerard},
  biburl = {https://www.bibsonomy.org/bibtex/2c390ac0e84d52b0b4dadcbb72341027b/dblp},
  booktitle = {CVPR},
  crossref = {conf/cvpr/2018},
  ee = {https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00875},
  interhash = {034673de754395671b19de029d622bcf},
  intrahash = {c390ac0e84d52b0b4dadcbb72341027b},
  keywords = {dblp},
  pages = {8387-8397},
  publisher = {Computer Vision Foundation / IEEE Computer Society},
  timestamp = {2024-04-09T20:53:23.000+0200},
  title = {Video Based Reconstruction of 3D People Models.},
  url = {http://dblp.uni-trier.de/db/conf/cvpr/cvpr2018.html#AlldieckMXTP18},
  year = 2018
}

@inproceedings{alldieck2018video,
  added-at = {2020-01-15T13:59:49.000+0100},
  author = {Alldieck, Thiemo and Magnor, Marcus and Xu, Weipeng and Theobalt, Christian and Pons-Moll, Gerard},
  biburl = {https://www.bibsonomy.org/bibtex/279a3fb956fb63ce21a7698d682e7469d/tubsicg},
  booktitle = {{IEEE}/{CVF} Conference on Computer Vision and Pattern Recognition ({CVPR})},
  doi = {10.1109/{CVPR}.2018.00875},
  interhash = {034673de754395671b19de029d622bcf},
  intrahash = {79a3fb956fb63ce21a7698d682e7469d},
  isbn = {978-1-5386-6420-9},
  keywords = {myown},
  month = jun,
  note = {{CVPR} Spotlight Paper},
  pages = {8387--8397},
  timestamp = {2020-01-15T13:59:49.000+0100},
  title = {Video Based Reconstruction of 3D People Models},
  year = 2018
}

@misc{alldieck2018video,
  abstract = {This paper describes how to obtain accurate 3D body models and texture of
arbitrary people from a single, monocular video in which a person is moving.
Based on a parametric body model, we present a robust processing pipeline
achieving 3D model fits with 5mm accuracy also for clothed people. Our main
contribution is a method to nonrigidly deform the silhouette cones
corresponding to the dynamic human silhouettes, resulting in a visual hull in a
common reference frame that enables surface reconstruction. This enables
efficient estimation of a consensus 3D shape, texture and implanted animation
skeleton based on a large number of frames. We present evaluation results for a
number of test subjects and analyze overall performance. Requiring only a
smartphone or webcam, our method enables everyone to create their own fully
animatable digital double, e.g., for social VR applications or virtual try-on
for online fashion shopping.},
  added-at = {2018-04-15T20:49:28.000+0200},
  author = {Alldieck, Thiemo and Magnor, Marcus and Xu, Weipeng and Theobalt, Christian and Pons-Moll, Gerard},
  biburl = {https://www.bibsonomy.org/bibtex/2dfe50b014fe6b12c0a0135ae0bc42e57/achakraborty},
  description = {[1803.04758] Video Based Reconstruction of 3D People Models},
  interhash = {034673de754395671b19de029d622bcf},
  intrahash = {dfe50b014fe6b12c0a0135ae0bc42e57},
  keywords = {2018 3D arxiv germany reconstruction videos},
  note = {cite arxiv:1803.04758Comment: CVPR 2018 Spotlight},
  timestamp = {2018-04-15T20:49:28.000+0200},
  title = {Video Based Reconstruction of 3D People Models},
  url = {http://arxiv.org/abs/1803.04758},
  year = 2018
}