Reputation: 345
here is the code for Features2D + Homography to find a known object from open cv documentation
#include<opencv\cv.h>
#include <opencv2\core\core.hpp>
#include <opencv2\features2d\features2d.hpp>
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\nonfree\nonfree.hpp>
#include <opencv2\calib3d\calib3d.hpp>
#include <opencv2\imgproc\imgproc.hpp>
#include <iostream>
using namespace std;
using namespace cv;
/** @function main */
int main(){
/*-- Load the images --*/
Mat image1= imread("C:\\panL.jpg");
Mat image2 = imread("C:\\panR.jpg");
if (!image1.data || !image2.data)
{
cout << " --(!) Error reading images " << endl; return -1;
}
imshow("first image", image2);
imshow("second image", image1);
/*-- Detecting the keypoints using SURF Detector --*/
int minHessian = 400;
SurfFeatureDetector detector(minHessian);
vector<KeyPoint> keypoints_1, keypoints_2;
detector.detect(image1, keypoints_1);
detector.detect(image2, keypoints_2);
/*-- Calculating descriptors (feature vectors) --*/
SurfDescriptorExtractor extractor;
Mat descriptors_1, descriptors_2;
extractor.compute(image1, keypoints_1, descriptors_1);
extractor.compute(image2, keypoints_2, descriptors_2);
/*-- Step 3: Matching descriptor vectors using FLANN matcher --*/
FlannBasedMatcher matcher;
vector< DMatch > matches;
matcher.match(descriptors_1, descriptors_2, matches);
//-- Quick calculation of max and min distances between keypoints
double max_dist = 0; double min_dist = 100;
for (int i = 0; i < descriptors_1.rows; i++)
{
double dist = matches[i].distance;
if (dist < min_dist) min_dist = dist;
if (dist > max_dist) max_dist = dist;
}
cout << "-- Max dist :" << max_dist << endl;
cout << "-- Min dist :" << min_dist << endl;
/*-- Drawing matches whose distance is less than 2*min_dist,
*-- or a small arbitary value ( 0.02 ) in the event that min_dist is verysmall)
*/
vector< DMatch > good_matches;
for (int i = 0; i < descriptors_1.rows; i++)
{
if (matches[i].distance <= max(2 * min_dist, 0.02))
{
good_matches.push_back(matches[i]);
}
}
/*-- Draw only good matches --*/
Mat img_matches;
drawMatches(image1, keypoints_1, image2, keypoints_2,
good_matches, img_matches, Scalar::all(-1), Scalar::all(-1),
vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);
/*-- Show detected matches --*/
imshow("Good Matches", img_matches);
for (int i = 0; i < (int)good_matches.size(); i++)
{
cout << "-- Good Match [i] Keypoint 1: " << good_matches[i].queryIdx << " -- Keypoint 2:" << good_matches[i].trainIdx << endl;
}
vector< Point2f > obj;
vector< Point2f > scene;
if (good_matches.size() >= 4)
{
for (int i = 0; i < good_matches.size(); i++)
{
//-- Get the keypoints from the good matches
obj.push_back(keypoints_1[good_matches[i].queryIdx].pt);
scene.push_back(keypoints_2[good_matches[i].trainIdx].pt);
}
// Find the Homography Matrix
Mat H = findHomography(obj, scene, CV_RANSAC);
// Use the Homography Matrix to warp the images
Mat result;
warpPerspective(image1, result, H, Size(image1.cols + image2.cols, image1.rows));
Mat half(result, Rect(0, 0, image2.cols, image2.rows));
image2.copyTo(half);
imshow("Result", result);
}
waitKey(0);
return 0;
}
on compilation it gives 2 error:
Error 5 error LNK2019: unresolved external symbol "class cv::Mat __cdecl cv::findHomography(class cv::_InputArray const &,class cv::_InputArray const &,int,double,class cv::_OutputArray const &)" (?findHomography@cv@@YA?AVMat@1@AEBV_InputArray@1@0HNAEBV_OutputArray@1@@Z) referenced in function main C:\Users\Paradox\Documents\Visual Studio 2013\Projects\Stiching~1\Stiching~1\Source.obj Stiching~1
Error 6 error LNK1120: 1 unresolved externals C:\Users\Paradox\Documents\Visual Studio 2013\Projects\Stiching~1\x64\Debug\Stiching~1.exe 1 1 Stiching~1
Upvotes: 0
Views: 1318
Reputation: 50667
You get the link errors because you don't link the OpenCV libs. You can add the following libs to VS2013 Project's Properties > Linker > Input > Additional Dependencies
(assume you're using OpenCV-2.4.8 in Debug mode):
opencv_videostab248d.lib
opencv_video248d.lib
opencv_ts248d.lib
opencv_superres248d.lib
opencv_stitching248d.lib
opencv_photo248d.lib
opencv_ocl248d.lib
opencv_objdetect248d.lib
opencv_nonfree248d.lib
opencv_ml248d.lib
opencv_legacy248d.lib
opencv_imgproc248d.lib
opencv_highgui248d.lib
opencv_gpu248d.lib
opencv_flann248d.lib
opencv_features2d248d.lib
opencv_core248d.lib
opencv_contrib248d.lib
opencv_calib3d248d.lib
It will be much easier if you're using CMake, which can be simply done by:
target_link_libraries(yourProject ${OpenCV_LIBS})
Upvotes: 2