Deep Learning KEYSCORE

Deep Learning Glossary

Deep Learning

Feature Descriptors

Feature Descriptors/Vectors

  • Feature descriptors encode interesting information into a series of numbers and act as a sort of numerical “fingerprint” that can be used to differentiate one feature from another.
  • Ideally this information would be invariant under image transformation, so we can find the feature again even if the image is transformed in some way.

BRISK descriptor – BRISK sampling pattern

BRISK descriptor – example of matching points using BRISK


Efficient Descriptors


SURF (Speeded Up Robust Features)



Compact Binary Descriptors

LBP (Local Binary Patterns)



ORB (Oriented FAST and Rotated BRIEF)

BRISK (Binary Robust Invariant Scalable Keypoints)

FREAK (Fast Retina Keypoint)

CARD (Compact and Realtime Descriptor)

LDB (Local DIfference Binary)


More Robust Descriptors

LIOP (Local Intensity Order Pattern for Feature Descriptor)

Learned Descriptors

Winder & Brown

Descriptor Learning Using Convex Optimisation

Learning Spatial Pooling Regions



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