Modified ORB for Similar Images Detection

Student: Gorbatenko Dmitry

Educational Programme: Data Science (Master)

Year of Graduation: 2019

During investigation of ORB model, we faced some limitations. Except for the described in the original paper variability to rescaling we found suspicious key-points positions distribution after adding even small text boxes to the image. We demonstrate through experiments how our model outperforms the basic version on the task of finding original image after rescaling, asks for less memory and decreases cost of find similar images, while staying relatively invariant to rotation and noise.

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