dufferdev's profile - activity

You can try finding the orientation of both the images using moments. Using the two orientation you can find the angle by taking the difference between them .

cv::Point3d findOrientation(const cv::Mat& src){
      cv::Moments m = cv::moments(src, true);
      double cen_x=m.m10/m.m00;
      double cen_y=m.m01/m.m00;
     double m_11= 2*m.m11-m.m00*(cen_x*cen_x+cen_y*cen_y);// m.mu11/m.m00;    
     double m_02=m.m02-m.m00*cen_y*cen_y;// m.mu02/m.m00;
     double m_20=m.m20-m.m00*cen_x*cen_x;//m.mu20/m.m00;    
     double theta = m_20==m_02?0:atan2(m_11, m_20-m_02)/2.0;
    //  theta = (theta / PI) * 180.0; //if you want in radians.(or vice versa, not sure)
    return cv::Point3d(cen_x,cen_y,theta);

}

I am returning the following: (x,y)(center of mass) and theta (orientation)

I am trying to do super-resolution using OpenCV 2.4.10. Here are the main steps in the task .

    const int scale = 2;
const int iterations = 5;
const int temporalAreaRadius = 4;
cv::Ptr<cv::superres::DenseOpticalFlowExt> of = cv::superres::createOptFlow_DualTVL1();

cv::Ptr<cv::superres::SuperResolution> super_res=cv::superres::createSuperResolution_BTVL1();
super_res->set("scale", scale);
super_res->set("iterations", iterations);
super_res->set("temporalAreaRadius", temporalAreaRadius);
super_res->set("opticalFlow",of);

 for(int i = 0; i < SKIP; ++i)
{
    frame_source->nextFrame(frame);
}
super_res->setInput(frame_source);
cv::VideoWriter writer;

std::cout<<"starting SR"<<std::endl;
for(int i=0;;++i){
    std::cout<<"processing frame :"<<i<<std::endl;
    cv::Mat result;
    super_res->nextFrame(result);
    if(result.empty())break;
    if (!writer.isOpened())
            writer.open(output_video_name, CV_FOURCC('X', 'V', 'I', 'D'), 25.0, result.size());
    writer << result;    
}

While the program executes error free, in the output all i am getting are blank green frames. Could anybody point me as why that is happening?