Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene
@article{Li2020Campus3DAP, title={Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene}, author={Xinke Li and Chongshou Li and Z. Tong and A. Lim and J. Yuan and Yuwei Wu and Jing Tang and Raymond Huang}, journal={Proceedings of the 28th ACM International Conference on Multimedia}, year={2020} }
Learning on 3D scene-based point cloud has received extensive attention as its promising application in many fields, and well-annotated and multisource datasets can catalyze the development of those data-driven approaches. To facilitate the research of this area, we present a richly-annotated 3D point cloud dataset for multiple outdoor scene understanding tasks and also an effective learning framework for its hierarchical segmentation task. The dataset was generated via the photogrammetric… Expand
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