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Image Similarity Measures

Student: Ivan Gusev

Supervisor: Alexander Ponomarenko

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2016

The project is intended to cover the issues of computer vision and exactly the problem of image classification. There are numerous theoretical and empirical works on the study in question, so it seems to be always of interest. The central research problem is an image comparison and an attempt to determine an image similarity measure. The first part of the project will review some of the classical approaches related to the problem. Following this, the results of applying the approaches and using the experience of computer vision investigations on the problem of image similarity are presented.

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