Chapter 6. Retrieving Images and Searching Using Image Descriptors

OpenCV can detect the main features of an image and extract these into so-called image descriptors.

These features can then be used as a database, enabling image-based searches.

Moreover, we can use keypoints to stitch images together and compose a bigger image

6.1 Feature detection algorithms

Algorithms that can be used to detect and extract features

  • Harris: This algorithm is useful to detect corners
  • SIFT: This algorithm is useful to detect blobs
  • SURF: This algorithm is useful to detect blobs
  • FAST: This algorithm is useful to detect corners
  • BRIEF: This algorithm is useful to detect blobs
  • ORB: This algorithm stands for Oriented FAST and Rotated BRIEF

Matching features can be performed with the following methods:

  • Brute-Force matching
  • FLANN-based matching

Spatial verification can then be performed with homography.

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