读取一个视频，获取相连两帧图片，需要计算它们的重叠度是否>80%
IplImage* compOverlap(const IplImage* frameBefore, const IplImage* frameAfter)
{
Mat matBefore(frameBefore);
Mat matAfter(frameAfter);
// 检测surf特征点
vector<KeyPoint> keypointsBefore, keypointsAfter;
SurfFeatureDetector detector(400);
detector.detect(matBefore, keypointsBefore);
detector.detect(matAfter, keypointsAfter);
//cout << "keypointsBefore size:" << keypointsBefore.size() << endl;
//cout << "keypointsAfter size:" << keypointsAfter.size() << endl;
// 描述surf特征点
SurfDescriptorExtractor surfDesc;
Mat descriptros1, descriptros2;
surfDesc.compute(matBefore, keypointsBefore, descriptros1);
surfDesc.compute(matAfter, keypointsAfter, descriptros2);
// 计算匹配点数
BruteForceMatcher<L2<float>>matcher;
vector<DMatch> matches;
int a = 0;
matcher.match(descriptros1, descriptros2, matches);
}
现我已经获取了matches，但是如何计算这两帧的重叠度？
初步想法是
循环判断特征点的欧式距离matches[m].distance,
计算特征点欧式距离>0.2的个数，
再除以对比帧frameAfter的特征点个数
如果结果<0.2,则认为重叠度>80%
但是感觉这个方法不太对，
新手刚接触opencv，希望各位大神不吝赐教啊~~
感激不尽~~
