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Scientific Visualization
| Issue Year: | 2017 |
| Quarter: | 1 |
| Volume: | 9 |
| Number: | 1 |
| Pages: | 124 - 136 |
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| Article Name: |
THE TECHNOLOGY OF «COMPUTER VISION» IN THE QUESTION OF VISUAL IDENTIFICATION OF A PERSON |
| Authors: |
R.A. Kuznetsov (Russian Federation), M.A. Ushakov (Russian Federation), M.V. Maschenko (Russian Federation), E.A. Volkova (Russian Federation) |
| Address: |
R.A. Kuznetsov
info@certifications.ru
Nizhny Tagil socio-pedagogical Institute (branch) of Federal State Autonomous educational institution "Russian state vocational pedagogical University", Nizhny Tagil, Russian Federation
M.A. Ushakov
ush_ma@mail.ru
Nizhny Tagil socio-pedagogical Institute (branch) of Federal State Autonomous educational institution "Russian state vocational pedagogical University", Nizhny Tagil, Russian Federation
M.V. Maschenko
maya_mach@rambler.ru
Nizhny Tagil socio-pedagogical Institute (branch) of Federal State Autonomous educational institution "Russian state vocational pedagogical University", Nizhny Tagil, Russian Federation
E.A. Volkova
koksharova_elena@list.ru
Nizhny Tagil socio-pedagogical Institute (branch) of Federal State Autonomous educational institution "Russian state vocational pedagogical University", Nizhny Tagil, Russian Federation |
| Abstract: |
Describes the results of work in the field of visual identification of the user using the application system. The detailed description of the structure of the system, its interface and painted the algorithm of the system, providing visual identification of the human face. In the basis of the presented algorithm in system identification LBPH, which is currently the most advanced in the field of two-dimensional identification of a facial image.
Presented designed the class diagram of the system developed. Described algorithms of the system operation in the storage mode of the object and in the identification mode. Based on the developed class hierarchy and algorithms of the system was written in code in the programming language C++.
As a result, presented an application that creates a collection of training samples from a set of visual images of the object being initialized, and also produces the training of the machine learning algorithm and performs the visual identification of a person based on the vector model obtained by machine learning. |
| Language: |
Russian |
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