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Dataset . 2021
License: CC BY
Data sources: Datacite
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Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2021
License: CC BY
Data sources: Sygma
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The 3D-video Point Cloud Musicians Dataset

Authors: Francesc Lluis; Vasileios Chatziioannou; Alex Hofmann;

The 3D-video Point Cloud Musicians Dataset

Abstract

DESCRIPTION The 3D-video Point Cloud Musicians Dataset provides 3D-video point clouds of several performers playing five different instruments: cello, doublebass, guitar, saxophone, and violin. The full 3D-video recordings span 1 hour of duration with an average of 12 different performers for each instrument. All musicians point clouds are centered in the origin and the axes have the following meaning: the body face direction is the z-axis, stature direction is the y-axis, and the side direction is the x-axis. The provided musician point clouds are down-sampled from their full resolution by using a voxel size of 0.01. RECORDINGS Recordings were conducted using a single Azure Kinect DK placed one meter above the floor and capturing a frontal view of the musician at a distance of two meters. The Azure Kinect DK depth camera was capturing a 75°x65° field of view with a 640x576 resolution while the Azure Kinect DK color camera was capturing with a 1920x1080 resolution. Both cameras were recording at 15 fps and Open3D library was then used to align depth and color streams and generate a point cloud for each frame. Each frame is saved as .ply format file. NAMING CONVENTION The folders in the dataset follow this structure: Instrument -> Person. The captured frames are named according to their temporal position using five numerical characters, i.e. %5d.ply

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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