Royi's profile - activity

Is there a way to build both Shared Libraries and Static Libraries at once?

Are you on Windows?

Is there a repository of pre built OpenCV (I mean someone has already compiled them)?

Well, that wouldn't do. I wist someone would optimize a 32f Images version.

I wish for Non Local Means for 32f images.

Anyone could assist?

I think he might be talking about a map of the sharpness of an image per pixel.

If you know the intensity, why wouldn't you use simple thresholding to label the image?

You should try Gradient (Region Growing) and Active Contours.

I am not sure I can understand what you wrote. Could you explain it?

Hi, Segmentation of hair is very very tough task.

I think the only algorithms which can handle things like that are those which solve optimization problem (Something like Colorization by Optimization).

I'm not sure they will be fast enough for the average user.

Otherwise you need to take one of the methods you mentioned and optimize it to its best performance point, which is what usually done by commercial companies.

Try here: http://area51.stackexchange.com/propo...

If you have a concept questions, not specifically OpenCV, would you assist us on this: http://area51.stackexchange.com/propo...

We need more assistance to get into the beta phase. Please, just vote up questions with less than 10 up votes.

Hello,
I'm looking for the code which implements fastNlMeansDenoising (I'm lloking for the C / C++ version).
I searched at the code on GitHub:

https://github.com/Itseez/opencv

https://github.com/vpisarev/opencv

Yet, I couldn't find the function itself.
Moreover, is there a place which describes the speed optimizations made?

Thank You.

Looking at the Image Pyramids tutorial I see the following note:

Notice that it is important that the input image can be divided by a factor of two (in both dimensions). Otherwise, an error will be shown.

I was wondering, How can Image Pyramid can be built for arbitrary image size and keep the "Reproduction" exact (Up to round off errors).

@GilLevi, So please join!

Since this site is dedicated to OpenCV code I think many people here would be happy to support a Stack Exchange style site dedicated to computer vision:

http://area51.stackexchange.com/proposals/66531/computer-vision/72084

Please, support by following, suggesting questions and give score to existing questions to move it to the next phase.

Thank You.

It sounds like Anisotropic Diffusion, have you tried it?

Do you think "SVM for Edge-Preserving Filtering" as in here: http://www.cs.cityu.edu.hk/~qiyang/ would be hard to replicate?

Hi,
The Blend Modes are easy since they are pixel by pixel operations.

you can see the math and code in any of the following:

http://photoblogstop.com/photoshop/photoshop-blend-modes-explained

http://www.venture-ware.com/kevin/coding/lets-learn-math-photoshop-blend-modes/

http://www.simplefilter.de/en/basics/mixmods.html

http://www.kineticsystem.org/?q=node/13

Enjoy.

Anyone? It should be pretty widely used optimization problem.

I have the following interpolation problem:

Given an M by N channel image (1 Channel).
A certain set of pixels are defined as anchors. The rest of the pixels should be interpolated using the original data by minimizing the follwoing cost function:

Where E is the new matrix of interpolated pixels and I is the original image.
Pay attention that the interpolated image equals the original image at the anchor pixels.

The inteprolation weights are given by:

My question is, how can I formalize it in Weighted LS form?
Any optimization could be made to solve it quickly and efficiently?

This interpolation could be used as a minimization for many application in image processing (Edge Preserving Interpolation, Colorization, etc...).

Thank You.

I meant comparing to other implementations, not by itself.

Does the OpenCV implementation of the Bilateral Filter considered fast? Thank You.

Thank for the idea. I will give it a try. Have you seen any other methods to create an estimated "Sharpness Map"? Thanks.

I don't need estimation of the distance (Namely, the distance in [Meter]), only that different distances are in different shades of gray. This could be done by estimating the "Sharpness". Since the focus is set to a certain distance anything in a different distance would have a different "Sharpness" (Blur) level according the Depth of Field.

Hello,

Is there a way using OpenCV to create a gray scale image of the Depth Map / Sharpness Level of an image?
I don't need the "Depth Map" to be accurate, just to set a different shade of gray to a different distances.
Equivalently, set a different gray level according to the sharpness of the area (Since Distance, Focus Distance and Depth of Field set the sharpness).

Any idea?

Thanks.

Any specifics related to Intel MKL? Thanks.

Hello, I'm using Intel IPP in my project. Yet Intel IPP lacks an image display function. I'd like to use OpenCV to display images.

Is there a built in or an easy way to convert image data from Intel IPP form into OpenCV form? Does anyone have a sample code?

Thank You.