static void Main(string[] args)
{
var img1 = new Mat(@"..\..\Images\left.png", LoadMode.GrayScale);
Cv2.ImShow("Left", img1);
Cv2.WaitKey(1); // do events
var img2 = new Mat(@"..\..\Images\right.png", LoadMode.GrayScale);
Cv2.ImShow("Right", img2);
Cv2.WaitKey(1); // do events
// detecting keypoints
// FastFeatureDetector, StarDetector, SIFT, SURF, ORB, BRISK, MSER, GFTTDetector, DenseFeatureDetector, SimpleBlobDetector
// SURF = Speeded Up Robust Features
var detector = new SURF(hessianThreshold: 400); //A good default value could be from 300 to 500, depending from the image contrast.
var keypoints1 = detector.Detect(img1);
var keypoints2 = detector.Detect(img2);
// computing descriptors, BRIEF, FREAK
// BRIEF = Binary Robust Independent Elementary Features
var extractor = new BriefDescriptorExtractor();
var descriptors1 = new Mat();
var descriptors2 = new Mat();
extractor.Compute(img1, ref keypoints1, descriptors1);
extractor.Compute(img2, ref keypoints2, descriptors2);
// matching descriptors
var matcher = new BFMatcher();
var matches = matcher.Match(descriptors1, descriptors2);
// drawing the results
var imgMatches = new Mat();
Cv2.DrawMatches(img1, keypoints1, img2, keypoints2, matches, imgMatches);
Cv2.ImShow("Matches", imgMatches);
Cv2.WaitKey(1); // do events
Cv2.WaitKey(0);
Cv2.DestroyAllWindows();
img1.Dispose();
img2.Dispose();
}
/// <summary>
/// Creates instance from raw T*
/// </summary>
/// <param name="ptr"></param>
internal new static BriefDescriptorExtractor FromRawPtr(IntPtr ptr)
{
if (ptr == IntPtr.Zero)
throw new OpenCvSharpException("Invalid BriefDescriptorExtractor pointer");
var extractor = new BriefDescriptorExtractor(null, ptr);
return extractor;
}
/// <summary>
/// Creates instance from raw T*
/// </summary>
/// <param name="ptr"></param>
internal new static BriefDescriptorExtractor FromRawPtr(IntPtr ptr)
{
if (ptr == IntPtr.Zero)
{
throw new OpenCvSharpException("Invalid BriefDescriptorExtractor pointer");
}
var extractor = new BriefDescriptorExtractor(null, ptr);
return(extractor);
}