Graph Matching for Marker Labeling and Missing Marker Reconstruction With Bone Constraint by LSTM in Optical Motion Capture
Optical motion capture (MOCAP) is a commonly used technology to record the motion of non-rigid objects with high accuracy in 3D space. However, the MOCAP data has to be processed further before it can be used. The scattered reconstructed motion data must constitute a human configuration by labelling...
Main Authors: | Jianfang Li, Degui Xiao, Keqin Li, Jiazhi Li |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9358157/ |
Similar Items
-
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
by: Anargyros Chatzitofis, et al.
Published: (2019-01-01) -
Generating Synthetic Missing Data: A Review by Missing Mechanism
by: Miriam Seoane Santos, et al.
Published: (2019-01-01) -
ALBERT over Match-LSTM Network for Intelligent Questions Classification in Chinese
by: Xiaomin Wang, et al.
Published: (2021-07-01) -
An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability
by: Cristian Kaori Valencia-Marin, et al.
Published: (2021-06-01) -
Improving accuracy of missing data imputation in data mining
by: Nzar A. Ali, et al.
Published: (2017-08-01)