Brief

Orb feature extraction opencv python

Orb feature extraction opencv python
  1. Is ORB better than SIFT?
  2. How does ORB feature detection work?
  3. What is an ORB descriptor?

Is ORB better than SIFT?

We showed that ORB is the fastest algorithm while SIFT performs the best in the most scenarios. For special case when the angle of rotation is proportional to 90 degrees, ORB and SURF outperforms SIFT and in the noisy images, ORB and SIFT show almost similar performances.

How does ORB feature detection work?

ORB uses BRIEF descriptors but as the BRIEF performs poorly with rotation. So what ORB does is to rotate the BRIEF according to the orientation of keypoints. Using the orientation of the patch, its rotation matrix is found and rotates the BRIEF to get the rotated version.

What is an ORB descriptor?

The ORB (Oriented Fast and Rotated Brief) descriptor is a somewhat similar to BRIEF . It doesn't have an elaborate sampling pattern as BRISK or FREAK . However, there are two main differences between ORB and BRIEF: ORB uses an orientation compensation mechanism, making it rotation invariant.

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