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The depth of the points, given by the ToF image, was registered with respect to the RGB image.
Thus, the depth of the points at the boundary of dataset is zero and the point which has the maximal depth value is the center of the dataset.
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An estimate for the depth of the point could be then obtained by intersecting its projecting ray with the 3D plane defined by the three 3D points.
They are a group of basically good-hearted folk who find themselves out of their depth to the point of drowning.
It is notable that not all the residues with depth values greater than zero are buried, that is, the depth values of the points b, c, d, and e in Figure 1 d).
We augment this linear system with the depth of the feature points.
Using the result of the registration described below, we can obtain an estimate for the depth of the feature points.
Within the two stages, the depth of the image points is provided by the stereovision disparity map.
From the depth map, the depth of the feature points can be extracted by adopting a registration technique for the camera combination.
For soil and dust, 15 30 g of samples were taken from 3 to 5 cm depth of the sampling points and transferred to the laboratory.
This technique consists in the use of a range camera accompanied by a conventional camera and implements the path from the depth of the feature points to the 3D positions of the vertices through convex programming.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com