sba, a C/C++ package for generic Sparse bundle adjustment is almost invariably used as the last step of every feature-based multiple view reconstruction vision algorithm to obtain optimal 3D structure and motion (i.e. camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines motion and structure by minimizing the reprojection error between the observed and predicted image points.
A Sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bundle adjustment, a computer vision/photogrammetry problem that typically involves several thousand variables
A version of a Sparse bundle adjustment implementation with adjustable intrinsics and distortion parameters (either shared by all views or varying for each view)
OFELI is an object oriented library of C++ classes for development of finite element codes. Its main features are : * Various storage schemes of matrices (dense, Sparse, skyline). * Direct methods of solution of linear systems of equations as well as various combinations of iterative solvers and preconditioners. * Shape functions of most "popular" finite elements * Element arrays of most popular problems (Heat Transfer, Fluid Flow, Solid Mechanics, Electromagnetics, ...).
Math.NET開源數學庫
C#實現
具體功能:
- A linear algebra package, see MathNet.Numerics.LinearAlgebra.
- A Sparse linear algebra package, see MathNet.Numerics.LinearAlgebra.Sparse.
- Non-uniform random generators, see MathNet.Numerics.Generators.
- Distribution fonctions, see MathNet.Numerics.Distributions.
- Statistical accumulator, see MathNet.Numerics.Statistics.
- Fourier transformations, see MathNet.Numerics.Transformations.
- Miscellaneous utilies (polynomials, rationals, collections).
The MatlabBGL library fills a hole in Matlab s suite of algorithms. Namely, it provides a rich set of algorithms to work with graphs, as in graph theory graphs. The MatlabBGL package uses Matlab s native Sparse matrix type as a graph and provides algorithms that work
