interpolation

I'd like to implement a Bézier curve . I've done this in C# before, but I'm totally unfamiliar with the C++ libraries. How should I go about creating a quadratic curve? void printQuadCurve(float delta, Vector2f p0, Vector2f p1, Vector2f p2); Clearly we'd need to use linear interpolation, but does this exist in the standard math library? If not, where can I find it? Update 1: Sorry, I forgot to mention I'm using Linux. dirkgently Did you use a C# library earlier? In C++, no standard library function for Bezier curves is available (yet). You can of course roll your own (CodeProject sample ) or

This Q&A is intended as a canonical(-ish) concerning two-dimensional (and multi-dimensional) interpolation using scipy. There are often questions concerning the basic syntax of various multidimensional interpolation methods, I hope to set these straight too. I have a set of scattered two-dimensional data points, and I would like to plot them as a nice surface, preferably using something like contourf or plot_surface in matplotlib.pyplot . How can I interpolate my two-dimensional or multidimensional data to a mesh using scipy? I've found the scipy.interpolate sub-package, but I keep getting

I'm plotting data using the command files discussed here: gnuplot contour line color: set style line and set linetype not working I want to provide different output options. PNG works well, as does the wxt terminal, however, these have fixed resolution, e.g. when I "zoom in" on the plot it gets grainier. If I use pdf or pdfcairo for the terminal, the resulting file has a Moire pattern. The region in the image over which the Moire pattern is observed can be reduced by using increasing amounts of interpolation in the pm3d command. There are lots of points in the data set in the radial direction,

I am trying to implement some function like below For this I am trying to use Cubic interpolation and Catmull interpolation ( check both separately to compare the best result) , what i am not understanding is what impact these interpolation show on image and how we can get these points values where we clicked to set that curve ? and do we need to define the function these black points on the image separately ? I am getting help from these resources Source 1 Source 2 Approx the same focus Edit int main (int argc, const char** argv) { Mat input = imread ("E:\\img2.jpg"); for(int i=0 ; i<input

This is a follow-up question to my previous post: Python/Scipy Interpolation (map_coordinates) Let's say I want to interpolate over a 2d rectangular area. My variable 'z' contains the data as shown below. Each column is at a constant value, however, each row of the array may be at a different value as shown in the comment below. from scipy import interpolate from numpy import array import numpy as np # # 0.0000, 0.1750, 0.8170, 1.0000 z = array([[-2.2818,-2.2818,-0.9309,-0.9309], # 0.0000, 0.0000, 0.0000, 0.0000 [-2.2818,-2.2818,-0.9309,-0.9309], # 0.2620, 0.2784, 0.3379, 0.3526 [-1.4891,-1