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      An Evaluation of Different Strategies to Represent Performance in a Tropical Garden for Immersive Environments

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      Proceedings of EVA London 2020 (EVA 2020)

      AI and the Arts: Artificial Imagination

      6th July – 9th July 2020

      Virtual reality, Cultural heritage, Immersive experience, VR performance, Motion capture, Media art, Dancers in VR

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Prior to its extensive redevelopment, the authors captured a tropical garden with significant cultural heritage and reconstructed it for immersive environments. Two approaches were employed; 360° video panorama recording and a photogrammetric capture as foundation for a complete 3D-reconstruction for VR. Common to both approaches, was the use of dancers as agents of user engagement and exploration. This paper evaluates the different methods of collecting the necessary data for each approach and their implementation of dancers in a cultural heritage context.

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          Most cited references 5

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          Comparing Inertial and Optical MoCap Technologies for Synthesis Control

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            Automated 3D Model Reconstruction from Photographs

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              Yunnan Garden VR – Recreation of a Tropical Garden as Virtual Cultural Heritage. XVIII. Culture and Computer Science – Extended Reality (KUI 2020)

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                Author and article information

                Contributors
                Conference
                July 2020
                July 2020
                : 307-312
                Affiliations
                ADM / NTU Singapore

                81 Nanyang Drive #04-08, Singapore
                ADM / NTU Singapore

                81 Nanyang Drive #03-05, Singapore
                ADM / NTU Singapore

                81 Nanyang Drive #04-17, Singapore
                Article
                10.14236/ewic/EVA2020.56
                © Williams et al. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2020

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of EVA London 2020
                EVA 2020
                30
                London
                6th July – 9th July 2020
                Electronic Workshops in Computing (eWiC)
                AI and the Arts: Artificial Imagination
                Product
                Product Information: 1477-9358 BCS Learning and Development Ltd
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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