A Multi-View Vision System for Astronaut Postural Reconstruction with Self-Calibration

Space exploration missions involve significant participation from astronauts. Therefore, it is of great practical importance to assess the astronauts’ performance via various parameters in the cramped and weightless space station. In this paper, we proposed a calibration-free multi-view vision syste...

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Bibliographic Details
Published in:Aerospace 2023-03, Vol.10 (3), p.298
Main Authors: Gan, Shuwei, Zhang, Xiaohu, Zhuge, Sheng, Ning, Chenghao, Zhong, Lijun, Li, You
Format: Article
Language:English
Subjects:
Accuracy
Astronaut performance
astronaut performance capture
Astronauts
Calibration
Cameras
Discovery and exploration
extrinsic camera calibration
Human body
Human performance
human pose estimation
Kinematics
Modules
Moon
Motion capture
multi-view system
Neural networks
Optimization
Outer space
Parameter estimation
Parameters
Posture
Reconstruction
Self calibration
Sensors
Space exploration
Space missions
Space stations
Spacecraft modules
Vision systems
Workloads
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Summary:Space exploration missions involve significant participation from astronauts. Therefore, it is of great practical importance to assess the astronauts’ performance via various parameters in the cramped and weightless space station. In this paper, we proposed a calibration-free multi-view vision system for astronaut performance capture, including two modules: (1) an alternating iterative optimization of the camera pose and human pose is implemented to calibrate the extrinsic camera parameters with detected 2D keypoints. (2) Scale factors are restricted by the limb length to recover the real-world scale and the shape parameters are refined for subsequent postural reconstruction. These two modules can provide effective and efficient motion capture in a weightless space station. Extensive experiments using public datasets and the ground verification test data demonstrated the accuracy of the estimated camera pose and the effectiveness of the reconstructed human pose.
ISSN:2226-4310
2226-4310
DOI:10.3390/aerospace10030298