A Low-Latency 3D Live Remote Visualization System for Tourist Sites Integrating Dynamic and Pre-captured Static Point Clouds
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911113975693312 |
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| author | Matsumoto, Takahiro Suzuki, Masafumi Yamaguchi, Mariko Aoki, Masakatsu Konagai, Shunsuke Murasaki, Kazuhiko |
| author_facet | Matsumoto, Takahiro Suzuki, Masafumi Yamaguchi, Mariko Aoki, Masakatsu Konagai, Shunsuke Murasaki, Kazuhiko |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_15398 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Low-Latency 3D Live Remote Visualization System for Tourist Sites Integrating Dynamic and Pre-captured Static Point Clouds Matsumoto, Takahiro Suzuki, Masafumi Yamaguchi, Mariko Aoki, Masakatsu Konagai, Shunsuke Murasaki, Kazuhiko Multimedia I.3.7 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. |
| title | A Low-Latency 3D Live Remote Visualization System for Tourist Sites Integrating Dynamic and Pre-captured Static Point Clouds |
| topic | Multimedia I.3.7 |
| url | https://arxiv.org/abs/2508.15398 |