Hi everyone,
In the last couple of months, I am experimenting with the features extraction algorithms. I notice that there are two ways in computing the features and I was wondering what is the difference between:
std::vector<cv::KeyPoint> keypoint;
cv::Mat descriptors;
detector_->detect(frame_, keypoint);
descriptor_->compute(frame_, keypoint, descriptors);
and:
std::vector<cv::KeyPoint> keypoint;
cv::Mat descriptors;
detector_->detectAndCompute(features_frame_, cv::noArray(),keypoint,descriptors)
when using the Feature2D class (http://docs.opencv.org/3.1.0/d0/d13/classcv_1_1Feature2D.html#gsc.tab=0). Is there a reason to use the second call, instead of the first?
With kind regards
Vasilis