Draw, manipulate and reconstruct B-splines.
estimate B-splines with known knot vector, given a set of noisy data points either with known or unknown associated parameter values.As regards the interactive interface, the user is shown a figure window
Computes the B-spline approximation from a set of coordinates.Supports periodicity and n-th order approximation.
Computes the B-spline approximation from a set of coordinates (knots).The number of points per interval (default: 10) and the order of the B-spline (default: 3) can be changed. Periodic boundaries
MATLAB library for elastic functional data analysis
Given a 3D cloud of points accompanied by normals an implicit b-spline surface is reconstructed.
A fast surface reconstruction is implemented in this set of codes. Given a 3D cloud of points accompanied by normal vectors an implicit b-spline surface will be reconstructed.Please cite the
Using Implicit B-Splines for Surface Reconstruction out of 3D point clouds.
Using Implicit B-Splines for Surface Reconstruction out of 3D point clouds.Please cite the following paper, in case of using the code:Rouhani M. and Sappa A.D., Implicit B-spline fitting using the 3L
Toolbox for Reachability Analysis
Spline toolbox for the definition, evaluation and visualization of spline curves and surfaces based on standard B-splines
This Spline toolbox provides the possibility to define spline curves and surfaces according to the common definition with knot vectors, the order of the B-spline basis functions and their
Signal Processing on non-euclidien domain signals
A non-local learning rule is employed in a repetitive neurocontroller based on B-spline network.
http://dx.doi.org/10.1109/IECON.2013.6700120 [**] weight constraints are used instead of forgetting and that turns out to robustify the controller. Hence, the same idea has been tested also in the B-spline based repetitive neurocontroller
A toolbox for nonparametric probability function estimation using normalized B-splines
A MATLAB toolbox 'bsspdfest' implementing nonparametric probability function estimation using normalized B-splines was developed. The toolbox implements nonparametric probability function estimation
This is an image registration Matlab program developed based on B-spline composition and level sets.
In this code, the image is defined using B-spline level set functions and they are deformed by using a composition approach. The computation composed of efficient algorithms for calculating the
Flexible Algorithms for Image Registration
Fit, evaluate, differentiate non-uniform B-splines of any order - fast
fastBSpline - A fast, lightweight class that implements non-uniform B splines of any order Matlab's spline functions are very general. This generality comes at the price of speed. For large-scale
Basic toolbox for polynomial B-splines on a uniform grid. OO overloading of common operators.
B-splines is a natural signal representation for continous signals, wheremany continous-domain operations can be carried out exactly once theB-spline approximation has been done.The B-spline
Basis functions for B-Splines (including nonrational and rational B-Splines).
Given the number of control points(N), the order of Splines (K), a sequence of knot vector (T), and the file name of txt format, the function basisfunc_NBS computes the nonrational (unweighted) basis
The concept of B-spline based repetitive control is explored within the frame of motion control.
remember to click the Build button in the S-Function block before attempting to run the model. More info: M. Malkowski, B. Ufnalski and L. M. Grzesiak, B-spline based repetitive controller revisited: error
version 18.104.22.168Rafal Barszczewski
Weights of B-spline controller are trained using PSO
https://www.mathworks.com/matlabcentral/fileexchange/47847-plug-in-direct-particle-swarm-repetitive-controller. The novelty is that B-spline based repetitive controller has weights trained using PSO.
A recursive function that computes the b-spline basis atoms, it's very compact
a function to compute the b-spline points on a gridusage y = spline_recursion (u,n)n is the order of the spline u is the grid pointexample:t=linspace(-2,10,10000);y1=spline
B-spline registration of two 2D / 3D images or corrsp. points, affine and with smooth b-spline grid.
Affine and B-spline grid based registration and data-fitting of two 2D color/grayscale images or 3D volumes or point-data. Registration can be done intensity / pixel based, or landmark /
C-code version of B-spline repetitive controller
This model is a C-code version of http://www.mathworks.com/matlabcentral/fileexchange/49023-b-spline-based-repetitive-neurocontroller uploaded by Bartlomiej Ufnalski.
Numerical computation with functions
Coefficients of the Cubics For Nonuniform Cubic Spline Interpolation
Coefficients of the Cubics For Nonuniform Cubic Spline InterpolationThe program works for any combination of first or second derivative end conditions (so, as special cases, it includes natural and
version 22.214.171.124Ernst Jan Grift
Spline object modification / transformation
A little piece of code enabling quick modification of spline objects: clipping, shifting, and scaling in both x, and y.
Creates Toeplitz-like matrices representing interpolation operations with edge conditions.
reconstruction using cubic B-splines with different possible boundary conditions. The screenshot above shows the output of this example, and illustrates how improved signal reconstruction is obtained using
Matlab Apps for Two-Dimensional Interpolation functions from scattered points (xyz)
Matlab Apps for Two-Dimensional Interpolation functions from scattered points (xyz), i.e., Linear, Nearest neighbor, Natural neighbor, Cubic, and Spline interpolation.Read and export data sets in
This is a function to draw a closed cubic B-Spline.
This is a function to draw a closed cubic B-Spline, based on by David Salomon (great book!), page 261 (closed cubic B-Spline curve).usage:closed_cubic_bspline(P,1) will compute and plot the closed
version 126.96.36.199Christina de Bruyn Kops
Peak fitting GUI for Diffraction Data
)• Analyzes files with a different number of data points and/or X-values. However, check fitting range before attempting.• Customize the background fit by either treating it separately (Polynomial or Spline) or
A toolbox for performing image registrations on 4D RTOG files or any other volumetric image.
This toolbox contains all the functions necessary for extraction and registration of medical RTOG images using a cubic-B-spline free form deformation technique. The optimization routine uses a
This recursive function implements a division-free inverse of a square matrix.
very specific cases,when the required condition holds.One of such situations is when calculating a cubic B-spline interpolation or cubic NURBS interpolation, where a tridiagonal matrix always occurs
Construct coefficients of interpolating or smoothing BSplines from N-dimensional array, analytically
Class to enable BSpline signal and image processing. Based off of the papers:M. Unser, A. Aldroubi, and M. Eden, "B-Spline Signal Processing: Part I - Theory," IEEE Trans Sig Proc, 41(2):821-833
Shape Context based nonrigid registration of 2D/3D objects, to build Active Shape Models
Shape Context is a method to get an unique descriptor (feature vector) for every point of an object contour or surface. This descriptor is used in combination with a b-spline free form deformation
NURBS Toolbox by D.M. Spink re-uploaded. The previous link has broken.
surface between twp NURBS curves. % nrbcoons - Construct Coons bilinearly blended surface patch. % nrbplot - Plot NURBS curve or surface. % % bspeval - Evaluate a univariate B-Spline. %
Converted NURBS toolbox