Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture

Author:

Pan Shaohua1ORCID,Ma Qi1ORCID,Yi Xinyu1ORCID,Hu Weifeng2ORCID,Wang Xiong2ORCID,Zhou Xingkang2ORCID,Li Jijunnan2ORCID,Xu Feng1ORCID

Affiliation:

1. Tsinghua University, China

2. OPPO Research Institute, China

Funder

the National Key R&D Program of China,the NSFC,Beijing Natural Science Foundation,the Key Research and Development Project of Tibet Autonomous Region

Publisher

ACM

Reference69 articles.

1. FLAG: Flow-based 3D Avatar Generation from Sparse Observations

2. Yiming Bao, Xu Zhao, and Dahong Qian. 2022. FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation. IEEE Transactions on Multimedia (2022).

3. Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J. Black. 2016a. Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. In Computer Vision – ECCV 2016(Lecture Notes in Computer Science). Springer International Publishing.

4. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

5. Learnable Human Mesh Triangulation for 3D Human Pose and Shape Estimation

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