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  2. Jump point search - Wikipedia

    en.wikipedia.org/wiki/Jump_point_search

    In computer science, jump point search (JPS) is an optimization to the A* search algorithm for uniform-cost grids. It reduces symmetries in the search procedure by means of graph pruning, [1] eliminating certain nodes in the grid based on assumptions that can be made about the current node's neighbors, as long as certain conditions relating to the grid are satisfied.

  3. Any-angle path planning - Wikipedia

    en.wikipedia.org/wiki/Any-angle_path_planning

    The advantage is that all optimizations of grid A* like jump point search will apply. A visibility graph with all the grid points can be searched with A* for the optimal solution in 2D space. However, the performance is problematic since the number of edges in a graph with V {\displaystyle V} vertices is O ( V 2 ) {\displaystyle O(V^{2})} .

  4. Multivariate interpolation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_interpolation

    Black and red / yellow / green / blue dots correspond to the interpolated point and neighbouring samples, respectively. Their heights above the ground correspond to their values. For function values known on a regular grid (having predetermined, not necessarily uniform, spacing), the following methods are available.

  5. Connected-component labeling - Wikipedia

    en.wikipedia.org/wiki/Connected-component_labeling

    Scan the image (in the following example, it is assumed that scanning is done from left to right and from top to bottom): For every pixel check the north and west pixel (when considering 4- connectivity ) or the northeast , north , northwest , and west pixel for 8-connectivity for a given region criterion (i.e. intensity value of 1 in binary ...

  6. Bicubic interpolation - Wikipedia

    en.wikipedia.org/wiki/Bicubic_interpolation

    At the edges of the dataset, when one is missing some of the surrounding points, the missing points can be approximated by a number of methods. A simple and common method is to assume that the slope from the existing point to the target point continues without further change, and using this to calculate a hypothetical value for the missing point.

  7. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    The most common form for a stream to take in GPGPU is a 2D grid because this fits naturally with the rendering model built into GPUs. Many computations naturally map into grids: matrix algebra, image processing, physically based simulation, and so on. Since textures are used as memory, texture lookups are then used as memory reads.

  8. Pirates offer huge trade for rare Paul Skenes baseball card - AOL

    www.aol.com/pirates-offer-huge-trade-rare...

    Earlier this week, Topps, a trading card company, released a baseball card of Pittsburgh Pirates rookie pitcher Paul Skenes.. And whoever comes into possession of that card has a chance to ...

  9. Graph traversal - Wikipedia

    en.wikipedia.org/wiki/Graph_traversal

    In computer science, graph traversal (also known as graph search) refers to the process of visiting (checking and/or updating) each vertex in a graph. Such traversals are classified by the order in which the vertices are visited. Tree traversal is a special case of graph traversal.

  1. Related searches jump point search grid model for image processing in c++ with example test

    jump point search gridjump point grid algorithm