difference between detect()/compute() and detectAndCompute() [closed]

asked 2016-04-21 06:32:51 -0500

anagno gravatar image

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/c...). Is there a reason to use the second call, instead of the first?

With kind regards

Vasilis

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Closed for the following reason the question is answered, right answer was accepted by sturkmen
close date 2020-10-04 02:39:57.662040

Comments

1

The reason is fairly simple, namely the possibility to combine descriptors and detectors of keypoints as you wish.

  • detectAndCompute will only work if a technique provides both keypoint detector and keypoint descripter interface.
  • however the seperate interfaces allow you to use the detection of technique one while exploiting benefits of the descriptor of technique 2

It brings a tons of extra possibilities.

StevenPuttemans gravatar imageStevenPuttemans ( 2016-04-22 06:37:57 -0500 )edit

One more question then. If I use the seperate interface (detect() / compute()) in a algortithm that provides both keypoint detector and descriptor (detectAndCompute()) will there be an overhead ???

anagno gravatar imageanagno ( 2016-04-22 07:59:34 -0500 )edit

Probably, but I am not sure if it will be a large influence!

StevenPuttemans gravatar imageStevenPuttemans ( 2016-04-22 08:14:45 -0500 )edit

Thanks a lot for the info! Could you copy your first comment as answer so I could choose it as a correct answer?

anagno gravatar imageanagno ( 2016-04-22 08:24:19 -0500 )edit