A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
3D Static Point Cloud Registration by Estimating Temporal Human Pose at Multiview
2022
Sensors
This paper proposes a new technique for performing 3D static-point cloud registration after calibrating a multi-view RGB-D camera using a 3D (dimensional) joint set. Consistent feature points are required to calibrate a multi-view camera, and accurate feature points are necessary to obtain high-accuracy calibration results. In general, a special tool, such as a chessboard, is used to calibrate a multi-view camera. However, this paper uses joints on a human skeleton as feature points for
doi:10.3390/s22031097
pmid:35161842
pmcid:PMC8839544
fatcat:27xmersbdjhf3ow2h6l62icdke