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3D Static Point Cloud Registration by Estimating Temporal Human Pose at Multiview
- Source :
- Sensors, Vol 22, Iss 1097, p 1097 (2022), Sensors; Volume 22; Issue 3; Pages: 1097
- Publication Year :
- 2022
- Publisher :
- MDPI AG, 2022.
-
Abstract
- 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 calibrating a multi-view camera to perform calibration efficiently without special tools. We propose an RGB-D-based calibration algorithm that uses the joint coordinates of the 3D joint set obtained through pose estimation as feature points. Since human body information captured by the multi-view camera may be incomplete, a joint set predicted based on image information obtained through this may be incomplete. After efficiently integrating a plurality of incomplete joint sets into one joint set, multi-view cameras can be calibrated by using the combined joint set to obtain extrinsic matrices. To increase the accuracy of calibration, multiple joint sets are used for optimization through temporal iteration. We prove through experiments that it is possible to calibrate a multi-view camera using a large number of incomplete joint sets.
- Subjects :
- joint set
Chemical technology
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Astrophysics::Instrumentation and Methods for Astrophysics
RGB-D
TP1-1185
3D registration
pose estimation
Biochemistry
Atomic and Molecular Physics, and Optics
Analytical Chemistry
Imaging, Three-Dimensional
Calibration
Humans
point cloud
Electrical and Electronic Engineering
Instrumentation
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 22
- Issue :
- 1097
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....f2e9494be2d762a69f665799551500ad