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Affine Differential Invariants for Invariant Feature Point Detection
- Publication Year :
- 2018
-
Abstract
- Image feature points are detected as pixels which locally maximize 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 are that they are only Euclidean-invariant. In this work we demonstrate the application of a 2D 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.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1803.01669
- Document Type :
- Working Paper