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Hello everyone! I have a little problem with the feature matching. I'm using the http://docs.opencv.org/2.4/doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.html method (with Ptr<surffeaturedetector> detector = SurfFeatureDetector::create(minHessian); instead of SurfFeatureDetector detector( minHessian ); )

But I'm using it with enormous images (72Mo / 11804 * 5850px) and when I start the program, my computer freeze! It just freeze! Nothing work anymore. I just waited 30mn and nothing happened. I was wondering if there is a method that can work to do feature matching with those big images (like, if the L2-SIFT is implemented?)

Thanks in advance :) Have a nice day everyone! :)

Hello everyone! I have a little problem with the feature matching. I'm using the http://docs.opencv.org/2.4/doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.html method (with this method Ptr<surffeaturedetector> with Ptr<SurfFeatureDetector> detector = SurfFeatureDetector::create(minHessian); SurfFeatureDetector::create(minHessian); instead of SurfFeatureDetector detector( minHessian ); ));

But I'm using it with enormous images (72Mo (72Mb / 11804 * 5850px) and when I start the program, my computer freeze! It just freeze! Nothing work anymore. works any more. I just waited 30mn and nothing happened. happened. I was wondering if there is a method that can work to do feature matching with those big images (like, if the L2-SIFT is implemented?)

Thanks in advance :) Have a nice day everyone! :)

Hello everyone! I have a little problem with the feature matching. I'm using this method with Ptr<SurfFeatureDetector> detector = SurfFeatureDetector::create(minHessian); instead of SurfFeatureDetector detector( minHessian );

But I'm using it with enormous images (72Mb / 11804 * 5850px) and when I start the program, my computer freeze! It just freeze! Nothing works any more. I just waited 30mn and nothing happened. I was wondering if there is a method that can work to do feature matching with those big images (like, if the L2-SIFT is implemented?)

Thanks in advance :) Have a nice day everyone! :)

//-- Step 1: Detect the keypoints using SURF Detector
int minHessian = 400;

Ptr<SurfFeatureDetector> detector = SurfFeatureDetector::create(minHessian);
//SurfFeatureDetector detector(minHessian);

std::vector<KeyPoint> keypoints_1, keypoints_2;

detector->detect(img_1, keypoints_1);
detector->detect(img_2, keypoints_2);
std::cout << " Step 1" << std::endl;`

Hello everyone! I have a little problem with the feature matching. I'm using this method with Ptr<SurfFeatureDetector> detector = SurfFeatureDetector::create(minHessian); instead of SurfFeatureDetector detector( minHessian );

But I'm using it with enormous images (72Mb / 11804 * 5850px) and when I start the program, my computer freeze! It just freeze! Nothing works any more. I just waited 30mn and nothing happened. I was wondering if there is a method that can work to do feature matching with those big images (like, if the L2-SIFT is implemented?)

Thanks in advance :) Have a nice day everyone! :)

Edit : Sorry, that's right I didn't give informations. I'm actually on Windows 7 SP1, using a DELL with 4Gb RAM. I'm working with OpenCV 3.1.0 And the code I have is : `Mat

Mat img_1 = imread("... /Large image/", /*Large image*/", IMREAD_GRAYSCALE);
 Mat img_2 = imread("..."/Little image/, IMREAD_GRAYSCALE);
 
imread("..."/*Little image*/, IMREAD_GRAYSCALE);

//-- Step 1: Detect the keypoints using SURF Detector
int minHessian = 400;

Ptr<SurfFeatureDetector> detector = SurfFeatureDetector::create(minHessian);
//SurfFeatureDetector detector(minHessian);

std::vector<KeyPoint> keypoints_1, keypoints_2;

detector->detect(img_1, keypoints_1);
detector->detect(img_2, keypoints_2);
std::cout << " Step 1" << std::endl;`
std::endl;
 
and my computer doesn't type "Step 1" in the console, so I suppose the problem come from

detector->detect(img_1, keypoints_1);
 
I know it works when I resize img_1 by a factor of 0.5 . So I'm sure it's a memory problem.