# A generalised feature for low level vision

arXiv: https://arxiv.org/abs/2102.02000 · HTML: https://mlsanity.com/paper/2102.02000/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 9 references that are in the map.
- First posted on arXiv 3 Feb 2021.

## Built on by (most cited first, 1 of 1)

- [A Saccaded Visual Transformer for General Object Spotting](https://mlsanity.com/paper/2210.09220/) (2022)

## Abstract (arXiv)

This papers presents a novel quantised transform (the Sinclair-Town or ST transform for short) that subsumes the rolls of both edge-detector, MSER style region detector and corner detector. The transform is similar to the unsharp transform but the difference from the local mean is quantised to 3 values (dark-neutral-light). The transform naturally leads to the definition of an appropriate local scale. A range of methods for extracting shape features form the transformed image are presented. The generalized feature provides a robust basis for establishing correspondence between images. The transform readily admits more complicated kernel behaviour including multi-scale and asymmetric elements to prefer shorter scale or oriented local features.