ML Anthology

HUMBI: A Large Multiview Dataset of Human Body Expressions

Zhixuan Yu, Jae Shin Yoon, In Kyu Lee, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyun Soo Park
CVPR 2020
doi:10.1109/CVPR42600.2020.00306 /cvpr/2020/yu2020cvpr-humbi/

Abstract

This paper presents a new large multiview dataset called HUMBI for human body expressions with natural clothing. The goal of HUMBI is to facilitate modeling view-specific appearance and geometry of gaze, face, hand, body, and garment from assorted people. 107 synchronized HD cam- eras are used to capture 772 distinctive subjects across gen- der, ethnicity, age, and physical condition. With the mul- tiview image streams, we reconstruct high fidelity body ex- pressions using 3D mesh models, which allows representing view-specific appearance using their canonical atlas. We demonstrate that HUMBI is highly effective in learning and reconstructing a complete human model and is complemen- tary to the existing datasets of human body expressions with limited views and subjects such as MPII-Gaze, Multi-PIE, Human3.6M, and Panoptic Studio datasets.

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Cite

Text

Yu et al. "HUMBI: A Large Multiview Dataset of Human Body Expressions." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020. doi:10.1109/CVPR42600.2020.00306

Markdown

[Yu et al. "HUMBI: A Large Multiview Dataset of Human Body Expressions." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020.](https://mlanthology.org/cvpr/2020/yu2020cvpr-humbi/) doi:10.1109/CVPR42600.2020.00306

BibTeX

@inproceedings{yu2020cvpr-humbi,
  title     = {{HUMBI: A Large Multiview Dataset of Human Body Expressions}},
  author    = {Yu, Zhixuan and Yoon, Jae Shin and Lee, In Kyu and Venkatesh, Prashanth and Park, Jaesik and Yu, Jihun and Park, Hyun Soo},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2020},
  doi       = {10.1109/CVPR42600.2020.00306},
  url       = {https://mlanthology.org/cvpr/2020/yu2020cvpr-humbi/}
}