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  2. Simultaneous localization and mapping - Wikipedia

    en.wikipedia.org/wiki/Simultaneous_localization...

    A map generated by a SLAM Robot. Simultaneous localization and mapping ( SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent 's location within it. While this initially appears to be a chicken or the egg problem, there are several algorithms known to solve ...

  3. List of SLAM methods - Wikipedia

    en.wikipedia.org/wiki/List_of_SLAM_Methods

    This is a list of simultaneous localization and mapping (SLAM) methods. The KITTI Vision Benchmark Suite website has a more comprehensive list of Visual SLAM methods. List of methods. EKF SLAM; FastSLAM 1.0; FastSLAM 2.0; L-SLAM (Matlab code) QSLAM; GraphSLAM; Occupancy Grid SLAM; DP-SLAM; Parallel Tracking and Mapping (PTAM)

  4. List of game engines - Wikipedia

    en.wikipedia.org/wiki/List_of_game_engines

    C++: 2010 Yes 3D Windows, macOS, ... Efficient 6-directional height map based geometry ... and particles, uses clever methods to give illusion of 3D depth. id Tech 2 ...

  5. Multivariate interpolation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_interpolation

    Multivariate interpolation. In numerical analysis, multivariate interpolation is interpolation on functions of more than one variable ( multivariate functions ); when the variates are spatial coordinates, it is also known as spatial interpolation . The function to be interpolated is known at given points and the interpolation problem consists ...

  6. Bundle adjustment - Wikipedia

    en.wikipedia.org/wiki/Bundle_adjustment

    Bundle adjustment. A sparse matrix obtained when solving a modestly sized bundle adjustment problem. This is the arrowhead sparsity pattern of a 992×992 normal-equation (i.e. approximate Hessian) matrix. Black regions correspond to nonzero blocks. In photogrammetry and computer stereo vision, bundle adjustment is simultaneous refining of the ...

  7. Root-finding algorithm - Wikipedia

    en.wikipedia.org/wiki/Root-finding_algorithm

    Root-finding algorithm. In numerical analysis, a root-finding algorithm is an algorithm for finding zeros, also called "roots", of continuous functions. A zero of a function f, from the real numbers to real numbers or from the complex numbers to the complex numbers, is a number x such that f(x) = 0. As, generally, the zeros of a function cannot ...

  8. Matching pursuit - Wikipedia

    en.wikipedia.org/wiki/Matching_pursuit

    Matching pursuit (MP) is a sparse approximation algorithm which finds the "best matching" projections of multidimensional data onto the span of an over-complete (i.e., redundant) dictionary . The basic idea is to approximately represent a signal from Hilbert space as a weighted sum of finitely many functions (called atoms) taken from .

  9. C++ Standard Library - Wikipedia

    en.wikipedia.org/wiki/C++_Standard_Library

    The C++ Standard Library is based upon conventions introduced by the Standard Template Library (STL), and has been influenced by research in generic programming and developers of the STL such as Alexander Stepanov and Meng Lee. [4] [5] Although the C++ Standard Library and the STL share many features, neither is a strict superset of the other.