xavier12358's profile - activity

Adapt the intrinsic parameters according to the resolution Hello, I want to use my intrinsic camera's calibration at 64

Adapt the intrinsic parameters according to the resolution Hello, I want to use my intrinsic camera's calibration at 64

As I quickly look, the example you gave me, is based on Pin hole model and not on Mei calibration model.

I modify radiusSearch to knnSearch and It works: std::vector<int> indices; std::vector<flo

Triangulation from spheric model Hello I use Mei calibration which create unified camera modelisation. I want to trian

Hello,

The problem we will discuss is pretty common, I want to search the nearest neighbors with Opencv. I found dozens of example but the program always sends me wrong informations.

here is the example I get:

std::vector<cv::Point2f> pointsForSearch;

for (int c = 100; c < 640; c += 100) {
    for (int l = 100; l < 640; l += 100) {
        pointsForSearch.emplace_back(cv::Point2f(float(c), float(l)));
    }
}

cv::Mat_<float> features(0,2);

 for(auto && point : pointsForSearch) {

   //Fill matrix
   cv::Mat row = (cv::Mat_<float>(1, 2) << point.x, point.y);
   features.push_back(row);
 }
 std::cout << features << std::endl;

 cv::flann::Index flann_index(features, cv::flann::KDTreeIndexParams(1));


 unsigned int max_neighbours = 10;
 cv::Mat query = (cv::Mat_<float>(1, 2) << 313.0, 245.6);
 cv::Mat indices, dists; //neither assume type nor size here !
 double radius= 2000.0;

 flann_index.radiusSearch(query, indices, dists, radius, max_neighbours,
     cv::flann::SearchParams(32));

 std::cerr << indices.type() << std::endl << indices << std::endl;
 std::cerr << dists.type() << std::endl << dists << std::endl;

The result is :

4
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
5
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

The result is alway zero. What is wrong with the previous example?

Get nearest neighbors Hello, The problem we will discuss is pretty common, I want to search the nearest neighbors with

I will see for the omnidirectional and fisheye problems. I modify my program with 3D data (not planar data) and the esti

Thank you really push for the explanation. Do you think we could do the same with Mei calibrated lens model? The fundam

Extract rotation and translation from Fundamental matrix Hello, I try to extract rotation and translation from my simul

Maximum fisheye degree for Opencv Calibration Hello, I want to use a 220 degrees fisheyes lens on my camera. I also wan

What are the negative example you selected? Did you try that with more complexe background ?

I finally manage to learn the svm network but it doesn t work property. I don t know if it comes from the dataset or the

Where could I get example of use of that train_HOG example?

I have also wrong behaviors. What should be the size of the dataset?

The images should have a multiply of 8 for the size?

The image should have a multiply of 8 for the size?

Hog detector for hand recognition Hello, I am trying to detect hand in images thanks to Hog detection and SVM network.

Hog detector for hand recognition Hello, I am trying to detect hand in images thanks to Hog detection and SVM network.

Hello,

I would like to get more information about undistor algorithm used on OpenCV.

Here is the source of the program:

https://github.com/Itseez/opencv/blob...

Where could I get paper on the algorithm used for undistor points?

Best regard.