Free-Viewpoint Video of Outdoor Sports Using a Drone
Abstract
We propose a novel drone application under real-world scenarios – free-viewpoint rendering of outdoor sports scenes, including the dynamic athlete and the 360° background. Outdoor sports have long-range human motions and large-scale scene structures which make the task rather challenging. Existing methods either rely on dense camera arrays which costs much, or a handheld moving camera which struggles to handle real sports scenes. We build a novel drone-based system using an RGB camera to reconstruct the 4D dynamic human along with the 3D unbounded scene, rendering free-viewpoint videos at any time. We also propose submodules for calibration and human motion capture, as a system-level design for improved robustness and efficiency. We collect a dataset AerialRecon and conduct extensive experiments on real-world scenarios. Compared with existing SOTA systems, our system demonstrates superior performance and applicability to real-world outdoor sports scenes.
Cite
Text
Hong. "Free-Viewpoint Video of Outdoor Sports Using a Drone." Proceedings of the European Conference on Computer Vision (ECCV), 2024. doi:10.1007/978-3-031-72630-9_11Markdown
[Hong. "Free-Viewpoint Video of Outdoor Sports Using a Drone." Proceedings of the European Conference on Computer Vision (ECCV), 2024.](https://mlanthology.org/eccv/2024/hong2024eccv-freeviewpoint/) doi:10.1007/978-3-031-72630-9_11BibTeX
@inproceedings{hong2024eccv-freeviewpoint,
title = {{Free-Viewpoint Video of Outdoor Sports Using a Drone}},
author = {Hong, Zhengdong},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
year = {2024},
doi = {10.1007/978-3-031-72630-9_11},
url = {https://mlanthology.org/eccv/2024/hong2024eccv-freeviewpoint/}
}