OpenCV- Working with OpenCV

I have used OpenCV's AFFINE and PERSPECTIVE transform to WARP the images. this same process can be done using HARRIS and RANSAC #include <opencv2/video/tracking.hpp> #include <opencv2/highgui/highgui.hpp> #include <stdio.h> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/calib3d/calib3d.hpp> #include <opencv2/imgproc/imgproc_c.h> #include <opencv2/video/tracking.hpp> #include <iostream> #include <vector>  void PrintMatrix ( CvMat *Matrix , char * name )  {  printf ("%s\n", name );     for ( int i=0;i<Matrix -> rows ;i++)      {          for ( int j =0;j< Matrix -> cols ;j ++)          {             printf (" %.3f\t",cvGet2D ( Matrix ,i,j).val [0]...

the angle of rotation and scaling is not yet done. need to find these in the previous image and after warping transform

#include <opencv2/video/tracking.hpp> #include <opencv2/highgui/highgui.hpp> #include <stdio.h> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/calib3d/calib3d.hpp> #include <opencv2/imgproc/imgproc_c.h> #include <opencv2/video/tracking.hpp> #include <iostream> #include <vector> // define whether to use approximate nearest-neighbor search #define USE_FLANN IplImage *image = 0; double compareSURFDescriptors( const float* d1, const float* d2, double best, int length ) { double total_cost = 0; assert( length % 4 == 0 ); for( int i = 0; i < length; i += 4 ) { double t0 = d1[i] - d2[i]; double t1 = d1[i+1] - d2[i+1]; double t2 = d1[i+2] - d2[i+2]; double t3 = d1[i+3] - d2[i+3]; total_cost += t0*t0 + t1*t1 + t2*t2 + t3*t3; if( total_cost > best ) break; } return total_cost; } int naiveNearestNe...

#include <stdlib.h> #include <stdio.h> #include <math.h> #include <string.h> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/calib3d/calib3d.hpp> #include <opencv2/imgproc/imgproc_c.h> #include <opencv2/video/tracking.hpp> #include <iostream> #include <vector> using namespace std; int main(int argc, char** argv) { CvMemStorage* storage = cvCreateMemStorage(0); cvNamedWindow("Object", 1); int key = 0; static CvScalar colors[] = { {{0,0,255}}, {{0,128,255}}, {{0,255,255}}, {{0,255,0}}, {{255,128,0}}, {{255,255,0}}, {{255,0,0}}, {{255,0,255}}, {{255,255,255}} }; CvCapture* capture = cvCreateCameraCapture(0); CvMat* prevgray = 0, *image = 0, *gray =0; while( key != 'q' ) { int firstFrame = gray == 0; IplImage* frame = cvQueryFrame(captur...

Im reusing the SURF implementation in the samples, what ive added is the camera, so im matching an image.jpg to a frame captured from the camera #include <stdlib.h> #include <stdio.h> #include <math.h> #include <string.h> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/calib3d/calib3d.hpp> #include <opencv2/imgproc/imgproc_c.h> #include <opencv2/video/tracking.hpp> #include <iostream> #include <vector> using namespace std; void help() { printf( "This program demonstrated the use of the SURF Detector and Descriptor using\n" "either FLANN (fast approx nearst neighbor classification) or brute force matching\n" "on planar objects.\n" "Call:\n" "./find_obj...