Search results
Results from the WOW.Com Content Network
A simple way to parallelize single-color line rasterization is to let multiple line-drawing algorithms draw offset pixels of a certain distance from each other. [2] Another method involves dividing the line into multiple sections of approximately equal length, which are then assigned to different processors for rasterization. The main problem ...
The distance from a point to a plane in three-dimensional Euclidean space [7] The distance between two lines in three-dimensional Euclidean space [8] The distance from a point to a curve can be used to define its parallel curve, another curve all of whose points have the same distance to the given curve. [9]
In other words, it is the expected Euclidean distance between two random points, where each point in the shape is equally likely to be chosen. Even for simple shapes such as a square or a triangle, solving for the exact value of their mean line segment lengths can be difficult because their closed-form expressions can get quite complicated.
Consider a pixel located at (,) that needs to be denoised in image using its neighbouring pixels and one of its neighbouring pixels is located at (,). Then, assuming the range and spatial kernels to be Gaussian kernels , the weight assigned for pixel ( k , l ) {\displaystyle (k,l)} to denoise the pixel ( i , j ) {\displaystyle (i,j)} is given by
To place a file in this category, add the tag {{Non-free poster|Fair use images of video game posters}} to the bottom of the file's description page. If you are not sure which category a file belongs to, consult the file copyright tag page. If this category is very large, please consider placing your file in a new or existing subcategory.
A free software Asteroids-like video game played on a vector monitor. Vector-based devices, such as the vector CRT and the pen plotter, directly control a drawing mechanism to produce geometric shapes. Since vector display devices can define a line by dealing with just two points (that is, the coordinates of each end of the line), the device ...
A nearest-neighbour method is a simple approach for finding the Euclidean distance between two vectors, where the minimum can be classified as the closest subject. [ 3 ] : 590 Intuitively, the recognition process with the eigenface method is to project query images into the face-space spanned by eigenfaces calculated, and to find the closest ...
The natural topology of Euclidean space implies a topology for the Euclidean group E(n). Namely, a sequence f i of isometries of E n {\displaystyle \mathbb {E} ^{n}} ( i ∈ N {\displaystyle i\in \mathbb {N} } ) is defined to converge if and only if, for any point p of E n {\displaystyle \mathbb {E} ^{n}} , the sequence of points p i converges.