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You need to pass the four pixel coordinates in your original image and the four corresponding pixel coordinates in your goal image (the second set could look somethink like)

vector<Point2f> training_corners;
training_corners.push_back(Point2f(0,0));
training_corners.push_back(Point2f(rgb.cols,0));
training_corners.push_back(Point2f(rgb.cols,rgb.rows));
training_corners.push_back(Point2f(0,rgb.rows));

Then you use warpPerspektive:

warpPerspective(rgb, unwarped_image, H2,cv::Size(rgb.cols, rgb.rows));

You need to pass the four pixel coordinates in your original image and the four corresponding pixel coordinates in your goal image (the second set could look somethink like)

vector<Point2f> training_corners;
training_corners.push_back(Point2f(0,0));
training_corners.push_back(Point2f(rgb.cols,0));
training_corners.push_back(Point2f(rgb.cols,rgb.rows));
training_corners.push_back(Point2f(0,rgb.rows));

You get your transformation:

 Mat H2 = findHomography(measured_pixels,training_corners);

Then you use warpPerspektive:

warpPerspective(rgb, unwarped_image, H2,cv::Size(rgb.cols, rgb.rows));