Knowledge Commons of Institute of Automation,CAS
3D Semantic Labeling of Photogrammetry Meshes Based on Active Learning | |
Mengqi Rong1,2![]() ![]() ![]() | |
2021-01-10 | |
会议名称 | 2020 25th International Conference on Pattern Recognition (ICPR) |
会议日期 | 2021-1-10 |
会议地点 | Milan, Italy |
出版者 | IEEE |
摘要 | As different urban scenes are similar but still not completely consistent, coupled with the complexity of labeling directly in 3D, high-level understanding of 3D scenes has always been a tricky problem. In this paper, we propose a procedural approach for 3D semantic expression of urban scenes based on active learning. We first start with a small labeled image set to fine-tune a semantic segmentation network and then project its probability map onto a 3D mesh model for fusion, finally outputs a 3D semantic mesh model in which each facet has a semantic label and a heat model showing each facet’s confidence. Our key observation is that our algorithm is iterative, in each iteration, we use the output semantic model as a supervision to select several valuable images for annotation to co-participate in the fine-tuning for overall improvement. In this way, we reduce the workload of labeling but not the quality of 3D semantic model. Using urban areas from two different cities, we show the potential of our method and demonstrate its effectiveness. |
DOI | 10.1109/ICPR48806.2021.9412358 |
URL | 查看原文 |
收录类别 | EI |
七大方向——子方向分类 | 三维视觉 |
国重实验室规划方向分类 | 环境多维感知 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/52438 |
专题 | 中科院工业视觉智能装备工程实验室_精密感知与控制 |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Mengqi Rong,Shuhan Shen,Zhanyi Hu. 3D Semantic Labeling of Photogrammetry Meshes Based on Active Learning[C]:IEEE,2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
3D_Semantic_Labeling(2400KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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