.png){kind=icon}
Return
Multi-viewpoint optical positioning algorithm based on minimizing reconstruction error
.png){kind=icon}
OA
AI
DOI：10.1016/j.measurement.2023.113206.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The obvious drawback of optical positioning based on binocular vision is the light occlusion. A multi-viewpoint optical positioning algorithm based on minimizing reconstruction error is proposed to realize mutual compen-sation optical tracking from the multi-viewpoint. Firstly, coordinate conversion model is used to obtain the conversion matrix between the spatial coordinate system of all possible binocular viewpoints and the reference coordinate system, so as to realize the unification of multi-viewpoint coordinate. Then, the parallel stereo vision measurement accuracy analysis model is established. Finally, the overall error of the reconstruction of different viewpoints is calculated in the multi-viewpoint measurement, and the binocular viewpoint with the smallest reconstruction error and no occlusion is selected to reconstruct the three-dimensional coordinates of markers. Two experiments are performed to verify the proposed algorithm, which show that the proposed algorithm is feasible to select the optimal reconstruction view and track surgical instruments continuously when occlusion exists.
Keywords:
Multi -viewpoint
Optical positioning
Errors analysis
Parallel stereo vision
Coordinate system unification
Journal
IF:
5.6
Papers:
2.1W
Citations:
6.3W
Organization
Cited Papers
ShareSaveShareSaveMultiple instruments motion trajectory tracking in optical surgical navigation.png)
OPTICS EXPRESS
OAAI
OPTICS EXPRESSIF3.3
OAAIShareSaveA non-iterative calibration method for the extrinsic parameters of binocular stereo vision considering the line constraintsMEASUREMENT
MEASUREMENTIF5.6
PREAI
ShareSaveShareSaveCalibration of the Relative Orientation between Multiple Depth Cameras Based on a Three-Dimensional TargetSENSORSOAAI
SENSORSIF3.5
OAAIShareSaveShareSave
View more