I´m trying to make开发者_Python百科 an implementation of Gaussian blur for a school project. I need to make both a CPU and a GPU implementation to compare performance.
I am writing a function Conv2ByFFT() to do the Gaussian blur which is similar to the GaussianBlur() in openCV api. But as i compare the effects between by function and GaussianBlur() api, i find that
I can generate Gaussian data with random.gauss(mu, sigma) function, but how can I generate 2D gaussian? Is there any fun开发者_运维问答ction like that?If you can use numpy, there is numpy.random.multi
I have a fairly basic maths question but the trick is I need it in C++. I\'m following the pseudocode given on Wikipedia at the moment. Here is my attempt:
I have code to solve the following problem, but it seems too slow to use (I think O(n^4)). Help a python beginner turn correct code into usable code!
I\'m writing a Gaussian blur with variable radius (standard deviation), i.e. each pixel of the image is convolved using a different kernel. The standard techniques to compute Gaussian blur don\'t work
I am using OpenCV and trying to apply a Gaussian Blur to an incoming video stream. I basically use cvQueryFrame to remove a frame, blur it and display the frame onto the screen. The thing is though, m
I have to use EM to estimate the mean and covariance of the Gaussian distribution for each of the two classes. They have some missing attributes too.开发者_运维问答
I am wondering if a function that preform multivariate normal random distribution exists .. I searched and I found it in O开发者_如何学编程penCV with C++ .. I want it in C# .. can any body help me out
This question already has answers here: 开发者_开发技巧 one Dimensional gauss convolution function in Matlab
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