test_orb.cpp

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#include "test_precomp.hpp"
#include "opencv2/highgui.hpp"

using namespace std;
using namespace cv;

TEST(Features2D_ORB, _1996)
{
    Ptr<FeatureDetector> fd = ORB::create();
    fd->set("nFeatures", 10000);//setting a higher maximum to make effect of threshold visible
    fd->set("fastThreshold", 20);//more features than the default
    Ptr<DescriptorExtractor> de = fd;

    Mat image = imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/lena.png");
    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);
}