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I've done that, It's not as effective as Exposure Compensation algorithms and it makes the other parts of the image (usu

I added the link to StackOverflow on top of the page.

They are predicted images from a neural network and I want to stitch them together BUT they don't have overlapping secti

OpenCV Exposure Compensation Without The Need To Stitch Images (This is a repost from StackOverflow) I have a bunch of

OpenCV Exposure Compensation Without The Need To Stitch Images (This is a repost from StackOverflow) I have a bunch of

OpenCV Exposure Compensation Without The Need To Stitch Images (This is a repost from StackOverflow) I have a bunch of

I went and checked the Sun-RGBD dataset images... the bit depth for the images is 16 bits... What should I do?

Thanks for coming along with me and having patience... how can I check the precision of depth images? I guess it's not the resolution nor the bit depth...

I did... But since CLAHE is also another Histogram Equalization algorithm, it doesn't do anything about smoothing the image... only the intensities change but the raggedness stays the same...

Actually this is an example from the Sun RGBD dataset... the only thing I've done on it is Histogram Equalization... but even without Histogram Equalization, nearly all of the images are like the one I showed above... Opening them with different viewers always gives the same style even without altering them in any way... I wanted the smoothing for some other reason and I was actually curious if there was a way to smooth these images without blurring them out...

I have a dataset of Depth images where the structure is mostly like this:

Is there a way I could use OpenCV to convert this block-like artifacts to a smooth gradient-like image? to something like this:

Using Gaussian blurring actually blurs the details too much to be useful... Here's an example image I want to smooth:

Thanks

Thanks for the answer...

OpenCV has a tutorial on post-filtering disparity maps here but it needs the left and right images to function properly. Is there a way to do this using only one depth image which we have acquired beforehand?

From this:

To This:

Using C++ is not a problem but I'd appreciate it if there was a way to do this in Python...

Thanks

I'm trying to develop a Face Recognition app on Android and I'm using JavaCV+OpenCV 2.4.2 to use Philipp Wagner's Face Recognition Class.

The class has a Train Method which accepts arrays of Mat and Integer as input (in C++) :

vector<Mat> images;
vector<int> labels;

Ptr<FaceRecognizer> model = createFisherFaceRecognizer();
model->train(images, labels);

JavaCV accepts the attributes of 'train' method as "train(MatVector arg0, CvArr arg1)" ... AND here is where I'm stuck !

I'm having a little trouble trying to load data into CvArr... I already have the labels as strings of data... but I can't seem to find a way to insert these labels as an array to CvArr... let's call it a lack of OpenCV knowledge... can anybody help me with this issue ?!

P.S : BTW I know that iplImage can be used instead of CvArr in this method but the problem still remains : HOW can I insert an Array of <int> into iplImage ?!

Thanks ! Will Check it Out...

Thanks Philipp...

But I'm having a little trouble trying to load data into CvArr... I already have the labels as strings of data... but I can't seem to find a way to insert these labels as an array to CvArr... let's call it a lack of OpenCV knowledge... can anybody help me with this issue ?!

Hi

I'm trying to develop a Face Recognition app on Android and since I don't want to use NDK on the project (simply don't have the time to switch), I'm sticking to develop the whole app with Java and therefor I'm having some problems :

1. It seems the Contrib Module isn't included in OpenCV 2.4.2 . is there anyway to use it in the project ?

2. I tried using JavaCV to use the Contrib Module's "FaceRecognizer" class. there are two classes available called "FaceRecognizer" & "FaceRecognizerPtr". does anybody know what the difference between these two is ?

3. The classes mentioned above have a method called "Train" which (In C++) receives two Vectors of types "Mat & Integer" ( model->train(images,labels) & train(Vector<mat> theImages, Vector<int> theLabels) . I tried passing them ArrayList<mat> & ArrayList<integer> and Vectors in Java but it seems that the method explicitly accepts the "CvArr" Data type which I'm not sure how to acquire... Here is the error :

The method train(opencv_core.CvArr, opencv_core.CvArr) in the type opencv_contrib.FaceRecognizer is not applicable for the arguments (ArrayList<mat>, ArrayList<integer>

Does anyone know how to change my ArrayList to CvArr ?!

This is my first post and I wasn't sure whether to ask all three questions in one post or in three posts so sorry for any inconveniences... If you need any other Information about the project, feel free to ask.