Camera Model Identification Problem

Student: Romanov Ivan

Supervisor: Ivan Grechikhin

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

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2018

This work considers the problem of camera model identification by its photo. This problem is quite popular in the academic environment, but most of the existing approaches do not guarantee invariance to data. Therefore, in this paper we consider and compare the existing methods of solving this problem. And as a key approach, deep learning is used as a set of methods that has shown itself well in a variety of modern problems of pattern recognition, in particular, image classification. With the help of the approaches proposed in the work, 97.5% accuracy was achieved.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses