Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
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// Intel License Agreement
// For Open Source Computer Vision Library
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#include "test_precomp.hpp"
#include "opencv2/highgui/highgui.hpp"
using namespace cv;
TEST(Features2D_ORB, _1996)
{
Ptr<FeatureDetector> fd = FeatureDetector::create("ORB");
Ptr<DescriptorExtractor> de = DescriptorExtractor::create("ORB");
Mat image = imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/lena.jpg");
ASSERT_FALSE(image.empty());
Mat roi(image.size(), CV_8UC1, Scalar(0));
Point poly[] = {Point(100, 20), Point(300, 50), Point(400, 200), Point(10, 500)};
fillConvexPoly(roi, poly, int(sizeof(poly) / sizeof(poly[0])), Scalar(255));
std::vector<KeyPoint> keypoints;
fd->detect(image, keypoints, roi);
Mat descriptors;
de->compute(image, keypoints, descriptors);
//image.setTo(Scalar(255,255,255), roi);
int roiViolations = 0;
for(std::vector<KeyPoint>::const_iterator kp = keypoints.begin(); kp != keypoints.end(); ++kp)
{
int x = cvRound(kp->pt.x);
int y = cvRound(kp->pt.y);
ASSERT_LE(0, x);
ASSERT_LE(0, y);
ASSERT_GT(image.cols, x);
ASSERT_GT(image.rows, y);
// if (!roi.at<uchar>(y,x))
// {
// roiViolations++;
// circle(image, kp->pt, 3, Scalar(0,0,255));
// }
}
// if(roiViolations)
// {
// imshow("img", image);
// waitKey();
// }
ASSERT_EQ(0, roiViolations);
}