IMAGE MATCHING USING DIFFERENT KEYPOINTS TYPES
Kirill Morev, A.V. Bozhenyuk · Известия Южного федерального университета. Технические науки · 2020
The work is devoted to experiments with various methods of selecting special points on images,followed by their description with a binary descriptor and comparison by a full search method.This paper actively uses the method of describing the neighborhood of singular points, basedon the construction of a binary string that characterizes changes in the brightness of pixels in thedescribed neighborhood. The resulting string is obtained by comparing the brightness of pixelsaccording to a specific template. Today, the use of special points when working with images allowsyou to develop applied methods in various areas of computer vision with increased requirementsfor working time and resistance to sudden changes in scenes. The paper presents the resultsof experiments with special points of various classes, the classification is given in section 1. Duringthe experiments, methods implemented in the OpenCV library were used. The paper providesbrief descriptions of the methods used in experiments. Section 1 of the paper offers a classificationof modern types of singular points of images and provides a brief description of popular methodsfor detecting the described types of singular points. In section 2, the authors give a General descriptionof methods for working with special image points. Section 3 describes the experimentsthat are being carried out with the comparison of special points of different types described by asingle descriptor, and reveals their results. The experiments performed allow us to identify thestrengths and weaknesses of bundles of different types of singular points when comparing them.