HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR

Author:

Dai Yudi1,Lin Yitai1,Wen Chenglu1,Shen Siqi1,Xu Lan1,Yu Jingyi1,Ma Yuexin1,Wang Cheng2

Affiliation:

1. Xiamen University,China

2. ShanghaiTech University,China

Publisher

IEEE

Reference55 articles.

1. Recovering accurate 3d human pose in the wild using imus and a moving camera;von marcard;Proceedings of the European Conference on Computer Vision (ECCV),2018

2. Practical motion capture in everyday surroundings

3. LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

4. A Tight Coupling of Vision-Lidar Measurements for an Effective Odometry

5. Efficient RANSAC for Point-Cloud Shape Detection

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1. PACE: Human and Camera Motion Estimation from in-the-wild Videos;2024 International Conference on 3D Vision (3DV);2024-03-18

2. Interaction Replica: Tracking Human–Object Interaction and Scene Changes From Human Motion;2024 International Conference on 3D Vision (3DV);2024-03-18

3. Human-centric Scene Understanding for 3D Large-scale Scenarios;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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