215's profile - activity

How do i instantiate a empty Rect?

Rect ROI = NULL doesn't work...

New error message : Allocating an object of abstract class type cv::StereoMatcher

`cv::Ptr<cv::StereoMatcher> match = cv::makePtr<cv::StereoMatcher>();`

I am getting this error variable type cv::StereoMatcher is an abstract class

How would you do so? cv::StereoMatcher map won't run as stereoMatcher is an abstract class.

I struggling a bit understanding how i should apply StereoMatcher to create a simple disparity map?..

From the Api it seems simple but, but this simple piece of code does result in bad_memory access error.

What is going wrong?

#include <iostream>
#include <opencv2/calib3d/calib3d.hpp>
#include <opencv2/opencv.hpp>
#include <opencv2/core.hpp>
#include <opencv2/features2d.hpp>
#include <opencv2/core/affine.hpp>

int main(int argc, const    char * argv[]) {
    // insert code here...
    std::cout << "Hello, World!\n";
    std::cout << CV_VERSION << std::endl;


    cv::Mat left = cv::imread("../left.png");
    cv::Mat right = cv::imread("../right.png");
    cv::Mat disparity_out;
    cv::StereoMatcher* map;
    map->compute(left, right, disparity_out);
    imshow("test",disparity_out);

    return 0;
}

I am using 3.1.0

What library should I include to make use of StereoVar

http://docs.opencv.org/2.4/modules/co...

The Api seems to refer to contrib, but the library won't compile due to a simple error (So i think) as missing namespace?..

Is it intended that the user has to change the library itself, or is it a bug?

Is it possible using openCV to compute a disparity map of a stereo images, which has already been rectified by the camera itself.

All the methods i can find here, want me to pass the camera intrinsic and extrinsic parameter, which i don't get (unless it want to calibrate the images).

I Wont know the distance for sure as the size of Ball of the image is not known.. I am using stereo vision

I at moment trying to implement a simple an robust way of detecting an red ball.

I've converted into HSV and filtered using inRange(..), such that the red ball is clear and some other noise.

But what approach would be appropriate to detect the ball?

findContour and Hough seems a bit overkill computation wise, but what other alternatives do i have. I have to detect the position of the ball at all time, so the speed of the algorithm has to be appropriate for tracking.

what do you suggest?

exactly .... :|

How do i store two different images at the same time, when a key is pressed?

I am looking for an easy method to implement stereopsis, such that i can extract the depth information of an object from a preprocessed input stereo image. Does openCV not provide with some form of function which allow to extract the depth and so on?

All the method which seem available in openCv perform dense stereopsis, which computation wise for me seems to be a bit overkill..

How would one create multiple ROI Mat based on a

vector <vector < point >> contours.

I have this function

vector<vector<Point> > MarkCountours(Mat binaryImg)
{
    vector<vector<Point> > contours;
    Mat test = binaryImg.clone();
    vector<Vec4i> hierarchy;
    RNG rng(12345);
    findContours( test, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
    vector<vector<Point> > contours_poly( contours.size() );
    vector<Rect> boundRect( contours.size() );
    vector<Point2f>center( contours.size() );
    vector<float>radius( contours.size() );
    for( int i = 0; i < contours.size(); i++ )
    {
        approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
        boundRect[i] = boundingRect( Mat(contours_poly[i]) );
    }
    Mat drawing = Mat::zeros( binaryImg.size(), CV_8UC3 );
    for( int i = 0; i< contours.size(); i++ )
    {
        Scalar color = Scalar(255,0,255);
        drawContours( drawing, contours_poly, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
        rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 );
    }

    return contours;
}

This draws rectangle on the binary image, based on contours, but how do i based on those countours create multiple Mat which consist of ROI where the contours are in interest..

but again.. what type am i looking for.. couldn't i just convert it to certain type or something like that?