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  2. List of centroids - Wikipedia

    en.wikipedia.org/wiki/List_of_centroids

    The following is a list of centroids of various two-dimensional and three-dimensional objects. The centroid of an object in -dimensional space is the intersection of all hyperplanes that divide into two parts of equal moment about the hyperplane.

  3. Soft-body dynamics - Wikipedia

    en.wikipedia.org/wiki/Soft-body_dynamics

    The nodes may either derive from the edges of a two-dimensional polygonal mesh representation of the surface of the object, or from a three-dimensional network of nodes and edges modeling the internal structure of the object (or even a one-dimensional system of links, if for example a rope or hair strand is being simulated). Additional springs ...

  4. Rendering (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Rendering_(computer_graphics)

    A drawback of the basic z-buffer algorithm is that each pixel ends up either entirely covered by a single object or filled with the background color, causing jagged edges in the final image. Early anti-aliasing approaches addressed this by detecting when a pixel is partially covered by a shape, and calculating the covered area.

  5. Jaggies - Wikipedia

    en.wikipedia.org/wiki/Jaggies

    This image was scaled up using nearest-neighbor interpolation.Thus, the "jaggies" on the edges of the symbols became more prominent. Jaggies are artifacts in raster images, most frequently from aliasing, [1] which in turn is often caused by non-linear mixing effects producing high-frequency components, or missing or poor anti-aliasing filtering prior to sampling.

  6. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    The Marr-Hildreth edge detector [26] is distinguished by its use of the Laplacian of Gaussian (LoG) operator for edge detection in digital images. Unlike other edge detection methods, the LoG approach combines Gaussian smoothing with second derivative operations, allowing for simultaneous noise reduction and edge enhancement.

  7. Edge-preserving smoothing - Wikipedia

    en.wikipedia.org/wiki/Edge-preserving_smoothing

    Edge-preserving filters are designed to automatically limit the smoothing at “edges” in images measured, e.g., by high gradient magnitudes. For example, the motivation for anisotropic diffusion (also called nonuniform or variable conductance diffusion) is that a Gaussian smoothed image is a single time slice of the solution to the heat ...

  8. Blend modes - Wikipedia

    en.wikipedia.org/wiki/Blend_modes

    Dodging lightens an image, while burning darkens it. Dodging the image is the same as burning its negative (and vice versa). Dodge modes: The Screen blend mode inverts both layers, multiplies them, and then inverts that result. The Color Dodge blend mode divides the bottom layer by the inverted top layer. This lightens the bottom layer ...

  9. Image stitching - Wikipedia

    en.wikipedia.org/wiki/Image_stitching

    Two images stitched together. The photo on the right is distorted slightly so that it matches up with the one on the left. Image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image.