{"ID":2879782,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.15398","arxiv_id":"2508.15398","title":"A Low-Latency 3D Live Remote Visualization System for Tourist Sites Integrating Dynamic and Pre-captured Static Point Clouds","abstract":"Various real-time methods for capturing and transmitting dynamic 3D spaces have been proposed, including those based on RGB-D cameras and volumetric capture. However, applying existing methods to outdoor tourist sites remains difficult because maintenance and aesthetic constraints limit sensor placement, and daylight variability complicates processing. We propose a system that combines multiple LiDARs and cameras for live dynamic point cloud capture, and integrates them with pre-captured static point clouds for wide-area 3D visualization. The system sustains 30 fps across wide-area scenes while keeping latency below 100 ms. To mitigate lighting inconsistencies, static point-cloud colors are automatically adjusted to current lighting. The effectiveness of our system is demonstrated through real-world deployment in a tourist site.","short_abstract":"Various real-time methods for capturing and transmitting dynamic 3D spaces have been proposed, including those based on RGB-D cameras and volumetric capture. However, applying existing methods to outdoor tourist sites remains difficult because maintenance and aesthetic constraints limit sensor placement, and daylight v...","url_abs":"https://arxiv.org/abs/2508.15398","url_pdf":"https://arxiv.org/pdf/2508.15398v1","authors":"[\"Takahiro Matsumoto\",\"Masafumi Suzuki\",\"Mariko Yamaguchi\",\"Masakatsu Aoki\",\"Shunsuke Konagai\",\"Kazuhiko Murasaki\"]","published":"2025-08-21T09:40:59Z","proceeding":"cs.MM","tasks":"[\"cs.MM\"]","methods":"[]","has_code":false}