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題名 Multi-view approach for drone light show
作者 紀明德
Chi, Ming-Te;Weng, Kai-Chun;Lin, Shu-Ting;Hu, Chen-Chi;Soong, Ru-Tai
貢獻者 資訊系
關鍵詞 3D ambigram; Drone light show; Integer programming
日期 2023-11
上傳時間 29-Jan-2024 09:45:26 (UTC+8)
摘要 Drones, or precisely quadrotors, have been increasingly used in the field of robotics and also in entertainment. Coordinated multiple drones that form visual presentations through their equipped LEDs are known as drone light shows (Waibel, M., Keays, B., Augugliaro, F.: in Drone shows: Creative potential and best practices. ETH Zurich, 2017). Such a performance offers visual enjoyment for a large audience, particularly in festivals. However, the majority of current drone light shows are manually coordinated by personnel using software. Drone light shows also have limited viewing range, thereby preventing the audience from getting a good view of the actual performance. This study proposes a method to provide multiple visual presentations in accordance with multiple viewing angles. We use visual hull to filter out the candidate areas that form input images, and takes projection error and classification values as weight for optimization. Consequently, the proposed method reduces the number of drones needed to form a multi-view structure for visual presentations. Furthermore, to meet the demands of performing the animation in multi-view structure, we implement the flight algorithm to locate the most suitable corresponding points between two different structures, and then generate the shortest flight paths without collision. Experiments conducted in our simulator provide additional insights and discussions, and each factor is visualized to provide an improved understanding of our approach for multi-view drone light shows.
關聯 The Visual Computer, Vol.39, pp.5797-5808
資料類型 article
DOI https://doi.org/10.1007/s00371-022-02696-8
dc.contributor 資訊系
dc.creator (作者) 紀明德
dc.creator (作者) Chi, Ming-Te;Weng, Kai-Chun;Lin, Shu-Ting;Hu, Chen-Chi;Soong, Ru-Tai
dc.date (日期) 2023-11
dc.date.accessioned 29-Jan-2024 09:45:26 (UTC+8)-
dc.date.available 29-Jan-2024 09:45:26 (UTC+8)-
dc.date.issued (上傳時間) 29-Jan-2024 09:45:26 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/149450-
dc.description.abstract (摘要) Drones, or precisely quadrotors, have been increasingly used in the field of robotics and also in entertainment. Coordinated multiple drones that form visual presentations through their equipped LEDs are known as drone light shows (Waibel, M., Keays, B., Augugliaro, F.: in Drone shows: Creative potential and best practices. ETH Zurich, 2017). Such a performance offers visual enjoyment for a large audience, particularly in festivals. However, the majority of current drone light shows are manually coordinated by personnel using software. Drone light shows also have limited viewing range, thereby preventing the audience from getting a good view of the actual performance. This study proposes a method to provide multiple visual presentations in accordance with multiple viewing angles. We use visual hull to filter out the candidate areas that form input images, and takes projection error and classification values as weight for optimization. Consequently, the proposed method reduces the number of drones needed to form a multi-view structure for visual presentations. Furthermore, to meet the demands of performing the animation in multi-view structure, we implement the flight algorithm to locate the most suitable corresponding points between two different structures, and then generate the shortest flight paths without collision. Experiments conducted in our simulator provide additional insights and discussions, and each factor is visualized to provide an improved understanding of our approach for multi-view drone light shows.
dc.format.extent 106 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) The Visual Computer, Vol.39, pp.5797-5808
dc.subject (關鍵詞) 3D ambigram; Drone light show; Integer programming
dc.title (題名) Multi-view approach for drone light show
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1007/s00371-022-02696-8
dc.doi.uri (DOI) https://doi.org/10.1007/s00371-022-02696-8