//记录提取的特征点及其数量
private void SetFeature(LoweFeatureDetector featureDetector)
{
NumOfFeature = featureDetector.GlobalKeypoints.Count;
features = new Feature[NumOfFeature];
for (int i = 0; i < NumOfFeature; i++)
{
Keypoint keypoint = (Keypoint)featureDetector.GlobalKeypoints[i];
features[i] = new Feature(keypoint.Image, keypoint.X, keypoint.Y, keypoint.ImgScale, keypoint.Scale, keypoint.Orientation);
features[i].CreateVector(4, 4, 8);
features[i].HasFeatureVector = keypoint.HasFV;
features[i].FeatureVector = keypoint.FV;
}
}
//使用sift算法提取特征点
public void SiftFeatures()
{
BasicImagingInterface picture = new DisplayImage("E:/SoftwareEngineering/LibrarySeatsManager/LibrarySeatsManager/b.jpg");
int pictureWidth = picture.Width;
int pictureHeight = picture.Height;
double startScale = 1.0;//图片之间的原始比例
ImageMap pictureMap = picture.ConvertToImageMap(null);
picture = null;
//对内存垃圾回收
GC.Collect();
LoweFeatureDetector featureDetector = new LoweFeatureDetector();
featureDetector.DetectFeatures(pictureMap);
//记录提取的特征点及其数量
SetFeature(featureDetector);
}
