HUMAN4D: A Multimodal Human-Centric Dataset for Motion & Volumetric Capture

Chatzitofis, Anargyros; Saroglou, Leonidas; Boutis, Prodromos; Drakoulis, Petros; Zioulis, Nikolaos; Subramanyam, Shishir; Kevelham, Bart; Charbonnier, Caecilia; César Garcia, Pablo Santiago; Kollias, Stefanos; Daras, Petros

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.

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Rights	MIT License
Organisation	Distributed and Interactive Systems
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Chatzitofis, A, Saroglou, L, Boutis, P, Drakoulis, P, Zioulis, N, Subramanyam, S, … Daras, P. (2020). HUMAN4D: A Multimodal Human-Centric Dataset for Motion & Volumetric Capture.

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article HUMAN4D: A human-centric multimodal dataset for motions and immersive media A. Chatzitofis (Anargyros), L. Saroglou (Leonidas), P. Boutis (Prodromos), P. Drakoulis (Petros), N. Zioulis (Nikolaos), S. Subramanyam (Shishir), B. Kevelham (Bart), C. Charbonnier (Caecilia), P.S. César Garcia (Pablo Santiago), D. Zarpalas (Dimitrios), et al. P. Daras (Petros)

HUMAN4D: A Multimodal Human-Centric Dataset for Motion & Volumetric Capture

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HUMAN4D: A human-centric multimodal dataset for motions and immersive media