Interest point detection is essential process for many computer vision applications, which must provide invariant points to several image variations, such as, rotation, zoom, blur, illumination variation and change of viewpoints. Harris-Affine detector is considered as one of the most effective interest point detectors, although it still presents vulnerability to some image. This paper proposes...

William 'Bill' Harris is Head of the Department of Physiology, Development and Neuroscience at the University of Cambridge, UK, and a Fellow of both the Royal Society and Academy of Medical Sciences. His lab works on the development of the vertebrate nervous system, with a particular focus on cell lineage in the retina. In 2017 he was awarded the British Society for Developmental Biology's Wadd...

This section discusses the procedure for extracting scale-adapted local regions, i.e., interest points equipped with characteristic scales. The Laplacian detector extracts image regions whose locations and characteristic scales are given by scale-space maxima of the Laplace operator. The Harris detector uses the same operator for scale selection, but finds the locations of interest points as th...