publication . Article . 2020

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

Anargyros Chatzitofis et al.;
Open Access English
  • Published: 23 Sep 2020
Abstract
We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system. By capturing 2 female and 2 male professional actors performing various full-body movements and expressions, HUMAN4D provides a diverse set of motions and poses encountered as part of single- and multi-person daily, physical and social activities (jumping, dancing, etc.), along with multi-RGBD (mRGBD), volumetric and audio data. Despite the existence of multi-view color datasets captured with the use of hardware (HW) synchronization, to the best of our...
Subjects
free text keywords: Dataset, 4D, multi-view, motion capture, RGBD, volumetric video, pose estimation, 3D compression, 4D capture, visual evaluation, benchmarking, depth sensing, audio, social activities.
Funded by
EC| VRTogether
Project
VRTogether
An end-to-end system for the production and delivery of photorealistic social immersive virtual reality experiences
  • Funder: European Commission (EC)
  • Project Code: 762111
  • Funding stream: H2020 | IA
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Article . 2020
Provider: ZENODO
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