harsha1234's profile - activity

Still I have a one more doubt.As "norm"function should require both input parameters of same size and depth.In my program,there is set of images and for that images BOW creates different size descriptors. And my query image descriptor have different size.In that case norm function throws an exception.....is there any way to do this?

oh sorry...I was confused and frustrate so did not understand to do.Now assertion problem is solved.Thanks

Hello,I got error at run time "debug assertion failure" Expression "vector subscription out of range"

I debug my code step by step ,I figure out that code crashes at line Mat final=Images[best];..... how to solve this? code is..... int main( int argc, char** argv ) { int minHessian=400; char * filename = new char[100];
//to store the current input image Mat input;
vector<mat>bowTrain; //To store the keypoints that will be extracted by SURF vector<keypoint> keypoints1,keypoints2; //To store the SURF descriptor of current image Mat descriptor1,descriptor2; //To store all the descriptors that are extracted from all the images. Mat featuresUnclustered; //The SURF feature extractor and descriptor SurfDescriptorExtractor detector(minHessian,4,2,false);

//I select 20 (1000/50) images from 1000 images to extract feature descriptors and build the vocabulary
for(int f=0;f<2;f++){       
    //create the file name of an image
    sprintf(filename,"C:\\harshada\\OpenCV BoFSURF\\Release\\image1\\%i.jpg",f);

    if(filename==NULL)
    {
        printf("Error in reading");
    }
    //open the file
    input = imread(filename, CV_LOAD_IMAGE_GRAYSCALE); //Load as grayscale  

    //detect feature points
    detector.detect(input, keypoints1);
    //compute the descriptors for each keypoint
    detector.compute(input, keypoints1,descriptor1);    
    bowTrain.push_back(descriptor1);
    //put the all feature descriptors in a single Mat object 
    featuresUnclustered.push_back(descriptor1);     

}   
    char * filename2 = new char[100];
sprintf(filename2,"C:\\harshada\\OpenCV BoFSURF\\Release\\image1\\0.jpg");  
Mat img=imread(filename2,CV_LOAD_IMAGE_GRAYSCALE);
//Mat img=imread("C:\\harshada\\OpenCV BoFSURF\\Release\\image1\\3.jpg",CV_LOAD_IMAGE_GRAYSCALE);
detector.detect(img,keypoints2);
detector.compute(img,keypoints2,descriptor2);
BruteForceMatcher< L2<float> > matcher;
std::vector< DMatch > matches;
int best=0;
vector<Mat>Images;
 double max_dist = 0; double min_dist = 100;
for(size_t i=0;i<bowTrain.size();i++)
{

    if (bowTrain[i].type() != descriptor2.type())
    {
        printf("error1:check type");
    }
    if (bowTrain[i].size() != descriptor2.size())
    {
        printf("error2:check type");
        break;
    }
    double dist=norm(bowTrain[i],descriptor2);
        if(dist<min_dist)
        {
            min_dist=dist;
            best=i;

        }


}
Mat final=Images[best];

return 0; }