HUMBI: A Large Multiview Dataset of Human Body Expressions

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 ca...

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Published inProceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 2987 - 2997
Main Authors Yu, Zhixuan, Shin Yoon, Jae, Lee, In Kyu, Venkatesh, Prashanth, Park, Jaesik, Yu, Jihun, Park, Hyun Soo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2020
Subjects
Biological system modeling
Cameras
Face
Geometry
Solid modeling
Three-dimensional displays
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Summary: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.
ISSN:1063-6919
DOI:10.1109/CVPR42600.2020.00306