HUMBI

by Zhixuan YuUnknown

HUMBI

HUMBI is a large multiview dataset for human body expressions with natural clothing, captured by 107 GoPro HD cameras from 772 distinctive subjects at 60Hz. During capture, each subject was invited into the capture stage and performing a series of tasks for each expression session (i.e. gaze, face, hand, body) sequentially, guided by an instructinal video (about 2.5 minutes). HUMBI is organized in subject-session-frame-representation hierarchy, i.e. partitioned subject by subject first -> each subject contains 4 expression sessions -> each expression session contains a sequence of frames (time instances) -> each frame contains up to 4 representations: multiview images, 3D keypoints, 3D mesh and appearance maps. For data sharing, multiple subjects of a certain session are bundled together (appearance is bundled separately).

Dataset Attributes

Label SVG
Tasks3D Reconstruction
Label SVG
CategoriesFace, Gaze, Hand, Body, Garment
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SensorRGB Camera