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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Bibliographic Details
Main Authors: Yu, Zhixuan, Shin Yoon, Jae, Lee, In Kyu, Venkatesh, Prashanth, Park, Jaesik, Yu, Jihun, Park, Hyun Soo
Format: Conference Proceeding
Language:English
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:2575-7075
DOI:10.1109/CVPR42600.2020.00306