public bool FindPattern(Mat image)
{
VectorOfKeyPoint keypoints;
Mat descriptors;
var gray = GetGray(image);
FeaturesUtils.ExtractFeatures(gray, out keypoints, out descriptors);
Features2DToolbox.DrawKeypoints(gray, keypoints, image, new Bgr(Color.Red), Features2DToolbox.KeypointDrawType.NotDrawSinglePoints);
VectorOfVectorOfDMatch matches;
Mat homography;
FeaturesUtils.GetMatches(keypoints, descriptors, _pattern.Keypoints, _pattern.Descriptors, out matches, out homography);
_patternInfo.Homography = homography;
var pts = Array.ConvertAll <Point, PointF>(_pattern.Points2d.ToArray(), a => a);
pts = CvInvoke.PerspectiveTransform(pts, homography);
var points = Array.ConvertAll(pts, Point.Round);
_patternInfo.Points2d = new VectorOfPoint(points);
_patternInfo.Draw2dContour(image, new MCvScalar(0, 200, 0));
return(true);
}
protected Pattern BuildPatternFromImage(Mat image)
{
_pattern = new Pattern
{
Size = new Size(image.Cols, image.Rows),
Frame = image.Clone(),
GrayImg = GetGray(image),
Points2d = new VectorOfPoint(4),
Points3d = new VectorOfPoint3D32F(4)
};
// Build 2d and 3d contours (3d contour lie in XY plane since it's planar)
// Image dimensions
int w = image.Cols;
int h = image.Rows;
// Normalized dimensions:
float maxSize = Math.Max(w, h);
float unitW = w / maxSize;
float unitH = h / maxSize;
_pattern.Points2d.Clear();
_pattern.Points2d.Push(new[] {
new Point(0, 0),
new Point(w, 0),
new Point(w, h),
new Point(0, h)
});
_pattern.Points3d.Clear();
_pattern.Points3d.Push(
new[] {
new MCvPoint3D32f(-unitW, -unitH, 0),
new MCvPoint3D32f(unitW, -unitH, 0),
new MCvPoint3D32f(unitW, unitH, 0),
new MCvPoint3D32f(-unitW, unitH, 0)
});
VectorOfKeyPoint keypoints;
Mat descriptors;
FeaturesUtils.ExtractFeatures(_pattern.GrayImg, out keypoints, out descriptors);
_pattern.Keypoints = keypoints;
_pattern.Descriptors = descriptors;
return(_pattern);
}
public static void Run(string path, string patternPath, SourceType type)
{
FeaturesUtils.Init();
var calibration = new CameraCalibrationInfo(560.764656335266f, 562.763179958161f, 295.849138757436f, 255.022208986073f);
var patternImage = CvInvoke.Imread(patternPath, Emgu.CV.CvEnum.LoadImageType.Unchanged);
var patternDetector = new PatternDetector(patternImage);
if (type == SourceType.Image)
{
var image = CvInvoke.Imread(path, Emgu.CV.CvEnum.LoadImageType.Unchanged);
ShowWindow(image, patternImage, patternDetector, calibration);
}
else if (type == SourceType.Video)
{
var capture = new Capture(path);
var image = capture.QueryFrame();
ShowWindow(image, patternImage, patternDetector, calibration, capture);
}
}
