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Right: average reprojection error.
The average reprojection error of the reconstructed 3D points is 0.22 pixel.
For the 3D reconstruction experiment, the average RMSE was 14.54 mm while the average reprojection error was 0.22 pixel.
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Finally, the 3D points were reprojected back to the input image as shown in Figure 17 and the reprojection error of the points were measured as shown in Figure 18.
In the classic methods, the camera parameters are usually calculated and optimized by the reprojection error.
Loop closing is done by bundle adjustment minimizing the reprojection error of feature matches.
We define coverage by bounding reprojection error between viewpoints, which accounts for all 4 dimensions of the light field.
We finally refine all the 3D model parameters, i.e., the planes and the points on these planes, as well as camera pose, by minimizing the reprojection error with respect to the measured image points, using bundle adjustment.
We propose and compare two criteria to minimize: (i) the first one is based on the epipolar constraint between pairs of frames and (ii) the second one expresses the camera extrinsic with respect to hand eye and world-grid transforms in the single frame reprojection error.
Figure 18 Reprojection error of the 3D reconstruction.
The term corresponding to the reprojection error can be obtained as indicated below.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com