268 results

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

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: 2) can be changed. Periodic boundaries

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

The program splineLength.m calculates numerically the arc length of an arbitrary B-splines.

The program splineLength.m calculates numerically the arc length of an arbitrary B-spline. Numerical integration uses "waypoints" for high precision.

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

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

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

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

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

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

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

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

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

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.



by Justin Blaber

2D-DIC program that uses contiguous circular subsets, biquintic B-spline interp, and complex ROIs

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

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

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.

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 /

Nonuniform Rational B-Splines

This script provides an easy representation of the Nonuniform Rational B-Splines

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 codes for first generation curvelet and ridgelet transforms.

Numerical computation with functions

Spline object modification / transformation

A little piece of code enabling quick modification of spline objects: clipping, shifting, and scaling in both x, and y.

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

Fit a spline to noisy data

controlled by the selection of breaks. SPLINEFIT:- A curve fitting tool based on B-splines- Splines on ppform (piecewise polynomial)- Any spline order (cubic splines by default)- Periodic boundary conditions-

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.

between twp NURBS curves. % nrbcoons - Construct Coons bilinearly blended surface patch. % nrbplot - Plot NURBS curve or surface. % % bspeval - Evaluate a univariate B-Spline. % bspderiv -

draw19 is a collection of the MATLAB's functions that allows one to draw various geometric entities in the plane.

This computes the H-infinity optimal causal filter (indirect B-spline filter) for the cubic spline.

Computes the H-infinity optimal causal filter (indirect B-spline filter) for the cubic spline.[INPUT]d: delay[OUTPUT]psi: the optimal filter psi(z) in a TF objectgopt: optimal valueThis file is based

Parameterized parts for Simscape Multibody, with gear assemblies and MATLAB code for extrusions

This GUI visualizes the basis functions of spline spaces

This GUI visualizes the basis functions of spline spaces. Different bases can be chosen from the following: 1) B-Splines 2) Cardinal Splines

Matlab implementation of the multiresolution Gabor filters in 1 and 2 dimensions.

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

Matlab toolbox for generating meshes from EBSD data

Finite element library for solving plane elasticity problems

Planar Cosserat rod

Fast Fourier Transform ( FFT ) of scattered data

fit: 1. B-splines sampled on a regular grid are fitted to the values (V) at positions (X), so they least squares approximate the data. 2. At the regular grid (Xq), values are interpolated

Zero-phase filtering using B-Spline networks.

bsn1.m implements a zerophase low pass filter using a novel structure called B-Spline Networks (BSN).This function was originally developed for use with the LFFC (learning feedforward control).A nice



by Mark Holmes

natural cubic spline at equally spaced nodes

Using cubic B-splines, the natural cubic spline is calculated assuming equally spaced nodes. It is formatted so it functions in a similar manner as the MATLAB command "spline"

PRIMOR method combines image reconstruction and motion estimation in a single algorithm

based on hierarchical B-splines. In this paper we compare PRIMOR with a prior-based reconstruction algorithm for respiratory gated CT, resulting in a significant reduction of artefacts and improved image

A time varying filter approach for empirical mode decomposition

Then nonuniform B-spline approximation is adopted as a time varying filter. In order to solve the intermittence problem, a cut-off frequency realignment algorithm is also introduced. Aimed at improving

Nonuniform Cubic Spline Interpolation

want the formulas for the resulting cubics, use splineB.m

Borges-Pastva algorithm

of Bézier and B-spline curves to ordered dataCF Borges, T PastvaComputer Aided Geometric Design 19 (4), 275-289

Subdivide a surface mesh, using Loop subdivision. Boundary- and shape-maintaining

algorithm [1]. This algorithm is based on B-spline curve continuity, leading to good shape-maintaining smoothing of a surface. The algorithm attempts to leave the boundary of the surface essentially

Complete Matlab pipeline for large scale calcium imaging data analysis

Zero-phase filtering using B-Spline Networks with dilation 2.

Similar to "bsn1.m", "bsn2.m" provides dilation 2 in the B-Spline network (BSN) which are used as a new way of performing approximate zero-phase low pass filtering.The transfer function of the



by Mark Holmes

clamped (or fixed) cubic spline at equally spaced data points

Calculates the clamped cubic spline using B-splines, for equally spaced points (i.e., xd(i+1)-xd(i)=h for all i).

Brainstorm: Open source application for MEG/EEG data analysis

This function calculates the Color (C) score for ABCD calculation of skin lesions.

imcomplement(close)% 2-D wavelet Decomposition using B-Spline[cA,cH,cV,cD] = dwt2(K,'bior1.1');%% Otsu thresholding on each of the 4 wavelet outputsthresh1 = multithresh(cA);thresh2 = multithresh(cH);thresh3 =

Fits two points with assigned directions with a single clothoid curve

Interpolate over small gaps in x, but not over large gaps in x.

'nearest' nearest neighbor interpolation 'linear' linear interpolation (default) 'spline' cubic spline interpolation 'pchip' piecewise cubic Hermite interpolation 'cubic' (same as 'pchip')

This is an improved version of of a previous skin lesion segmentation algorithm that I developed.

Closingse = strel('disk',1);close = imclose(gray,se);% Complement ImageK= imcomplement(close)%% 2-D wavelet Decomposition using B-Spline[cA,cH,cV,cD] = dwt2(K,'bior1.1');%% Otsu thresholding on each of the 4

Supersampling function using Optimal Maximal-Order-Minimal-Support as kernel.

processing, which is why sinc (the kernel that gives ideal reconstruction) is not used in practice. B-spline based interpolating kernels are usually used in spline interpolation. MOMS functions are constructed

Calculate a bend table from IGES files containing hose or tube paths.

This function takes a bunch of IGES-Files, looks for rational B-Splines (IGES entity 126) and makes a bending table out of each of the splines. If end and start point have the same coordinates, these

This function will refine a triangular mesh with 4-split spline interpolation

calculated. Which are later used for b-spline interpolation when splitting the edges.A tangent on an 3D line or edge is under defined and can rotate along the line, thus an (virtual) opposite vertex is used to

This Script is useful in finding symmetry lines in Skin Lesions with extensions to any binary masks.

(S-min(S(:)))./(max(S(:))-min(S(:)));% Morphological Closingse = strel('disk',1);close = imclose(gray,se);% Complement ImageK= imcomplement(close)% 2-D wavelet Decomposition using B-Spline[cA,cH,cV,cD] = dwt2(K,'bior1.1');%% Otsu

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