public List<VideoPoint> GetVideoImagePoints(Bitmap bmp, float thresh = 0.0002f)
{
var points = GetImagePoints(bmp, thresh);
List<VideoPoint> videoPoints = new List<VideoPoint>();
foreach (var point in points)
{
VideoPoint videoPoint = new VideoPoint();
videoPoint.CopyFrom(point);
videoPoints.Add(videoPoint);
}
return videoPoints;
}
public List<VideoPoint>[] GetMatches(List<VideoPoint> ipts1, List<VideoPoint> ipts2,bool multiThread=false)
{
double dist;
double d1, d2;
VideoPoint match = new VideoPoint();
List<VideoPoint>[] matches = new List<VideoPoint>[2];
matches[0] = new List<VideoPoint>();
matches[1] = new List<VideoPoint>();
if (multiThread)
{
var output=Parallel.For(0,ipts1.Count,i=>{
d1 = d2 = FLT_MAX;
for (int j = 0; j < ipts2.Count; j++)
{
dist = GetDistance(ipts1[i], ipts2[j]);
if (dist < d1) // if this feature matches better than current best
{
d2 = d1;
d1 = dist;
match = ipts2[j];
}
else if (dist < d2) // this feature matches better than second best
{
d2 = dist;
}
}
// If match has a d1:d2 ratio < 0.65 ipoints are a match
if (d1 / d2 < 0.77) //Match
{
matches[0].Add(ipts1[i]);
matches[1].Add(match);
}
});
}
else
{
for (int i = 0; i < ipts1.Count; i++)
{
d1 = d2 = FLT_MAX;
for (int j = 0; j < ipts2.Count; j++)
{
dist = GetDistance(ipts1[i], ipts2[j]);
if (dist < d1) // if this feature matches better than current best
{
d2 = d1;
d1 = dist;
match = ipts2[j];
}
else if (dist < d2) // this feature matches better than second best
{
d2 = dist;
}
}
// If match has a d1:d2 ratio < 0.65 ipoints are a match
if (d1 / d2 < 0.77) //Match
{
matches[0].Add(ipts1[i]);
matches[1].Add(match);
}
}
}
return matches;
}