ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild

Author:

Zhao Wang,Liu Shaohui,Guo Hengkai,Wang Wenping,Liu Yong-Jin

Publisher

Springer Nature Switzerland

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Patch Trajectories for Visual Odometry in Dynamic scenes;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Testing the real-time performance of a monocular visual odometry method for a wheeled robot;2024 IEEE International Systems Conference (SysCon);2024-04-15

3. On Moving Object Segmentation from Monocular Video with Transformers;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

4. Semantics lead all: Towards unified image registration and fusion from a semantic perspective;Information Fusion;2023-10

5. Tracking Everything Everywhere All at Once;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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