Abstract
Image feature points are detected as pixels which locally maximise a detector function, two commonly used examples of which are the (Euclidean) image gradient and the Harris-Stephens corner detector. A major limitation of these feature detectors is that they are only Euclidean-invariant. In this work, we demonstrate the application of a 2D equi-affine-invariant image feature point detector based on differential invariants as derived through the equivariant method of moving frames. The fundamental equi-affine differential invariants for 3D image volumes are also computed.
Original language | English (US) |
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Journal | European Journal of Applied Mathematics |
DOIs | |
State | Published - Jan 1 2019 |
Keywords
- Differential invariant
- equi-affine group
- feature detection
- moving fram