human4d_dataset
HUMAN4D: A Human-Centric Multimodal Dataset for Motions & Immersive Media
HUMAN4D constitutes 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.
The related paper can be found here in PDF.
You can download the dataset from Zenodo (in various parts):
- https://zenodo.org/record/4473009#.YH6nvOgzaUk
- https://zenodo.org/record/4473047#.YH6n1egzaUk
- https://zenodo.org/record/4483817#.YH6n5OgzaUk
- https://zenodo.org/record/4484110#.YH6n-ugzaUk
For data that are not publicly available but are included in the HUMAN4D dataset, contact us @ tofis3d [at] gmail.com.
Pictures taken during the preparation and capturing of the HUMAN4D dataset. The room was equipped with 24 Vicon MXT40S cameras rigidly placed on the walls, while a portable volumetric capturing system (https://github.com/VCL3D/VolumetricCapture) with 4 Intel RealSense D415 depth sensors was temporarily set up to capture the RGBD data cues.
HW-SYNCed multi-view RGBD samples (4 RGBD frames each) from “stretching_n_talking” (top) and “basket-ball_dribbling” (bottom) activities.
3D Scanning using a custom photogrammetry rig with 96 cameras, photos were taken of the actor (left) and reconstructed into a 3D textured mesh using Agisoft Metashape (right).
Reconstructed mesh-based volumetric data with (Left) color per vertex visualization in 3 voxel-grid resolutions, i.e. r= 5, r= 6 andr= 7 and (Right) textured 3D mesh sample in voxel-grid resolution for r= 6.
Merged reconstructed point-cloud from one single mRGBD frame from various views.
If you used the dataset or found this work useful, please cite:
@article{chatzitofis2020human4d,
title={HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media},
author={Chatzitofis, Anargyros and Saroglou, Leonidas and Boutis, Prodromos and Drakoulis, Petros and Zioulis, Nikolaos and Subramanyam, Shishir and Kevelham, Bart and Charbonnier, Caecilia and Cesar, Pablo and Zarpalas, Dimitrios and others},
journal={IEEE Access},
volume={8},
pages={176241--176262},
year={2020},
publisher={IEEE}
}