Sentence examples for coordinates of the image from inspiring English sources

where are the coordinates of the image center computed as explained in (4): (12).

where (x,y) denotes the coordinates of the image and σ is a scale parameter.

Considering the 2D (XY) coordinates of the image projection centres, the algorithm determines the images that overlap each tile: these images are initially considered for this tile.

When an image feature is selected, the spatial coordinates of the image feature are calculated by employing the method of inverse depth parameterization [17].

The two-dimensional (2D) Gaussian distribution G is given by: Open image in new window (E1 where x, y are the spatial coordinates of the image matrix and σ is the standard deviation of the Gaussian distribution.

Optical crowd block structure is for increasing image data in an optical image system, through the structure in different coordinates of the image area between the establishments of efficient continuity of protection.

This structure also allows us to use the relative pixel coordinates of the images to identify whether each is an image of the fly or one of its reflections, and if the latter then to determine the sequence of mirrors in which the image was reflected (Appendix S2).

The global deformation function T G is chosen as an affine transformation T G = Ψ[[ x, y,1] T, where x and y are the coordinates of the images and Ψ is a 3 × 3 affine transformation matrix in the homogeneous coordinate that can be obtained by maximizing Eq.  1.

The image navigation data include the sub-spacecraft point in the image coordinate; thus, we varied it in two dimensions; the particular parameters we chose range from − 7 to 7 and from − 5 to 5 pixels along the x- (predominantly east west) and y (predominantly north south -coordinates of the image, respectively, inorth south -coordinatesls.

where is the coordinate of the image pixel varying from 1 to, is the mask window, is the input image, and is the mask image (the estimation of local background) obtained by a convolution between and Figure 11 shows profiles of each sub-Gaussian form and the resulted filter (which is sum of all the sub-Gaussian).

This problem is normally solved through the extraction of representative features of the object, and the two-dimensional coordinates of these image features are used to compute the position of the object.