title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸ÑÑÐµÐ¼Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð²Ð¾ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð»Ð¸ÑÐ° ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ð¿Ð¾ ÑÐ°ÑÑÐ¸ÑÐ½Ð¾ Ð·Ð°ÐºÑÑÑÐ¾Ð¼Ñ Ð¼Ð°ÑÐºÐ¾Ð¹ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of a system for automatic restoration of a person's face based on an image partially covered by a mask
Creators: name: Ð¢Ð°ÑÐ°ÑÐ¾Ð², Ð¡ÑÐ°Ð½Ð¸ÑÐ»Ð°Ð²
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÐ½Ð°Ð»Ð¸Ð·Ð°ÑÐ¾ÑÑ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð Ð°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: &lt;&lt;Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸ÑÑÐµÐ¼Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð²Ð¾ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð»Ð¸ÑÐ° ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ð¿Ð¾ ÑÐ°ÑÑÐ¸ÑÐ½Ð¾ Ð·Ð°ÐºÑÑÑÐ¾Ð¼Ñ Ð¼Ð°ÑÐºÐ¾Ð¹ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ&gt;&gt;. ÐÑÐ¾Ð±Ð»ÐµÐ¼Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð»Ð¸ÑÐ° ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ð² Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð¼Ð°ÑÐºÐµ Ð½Ð° ÑÐµÐ³Ð¾Ð´Ð½ÑÑÐ½Ð¸Ð¹ Ð´ÐµÐ½Ñ ÑÐ²Ð»ÑÐµÑÑÑ Ð²ÐµÑÑÐ¼Ð° Ð°ÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð¹ Ð²Ð²Ð¸Ð´Ñ Ð¿ÑÐ¾ÑÐµÐºÐ°ÑÑÐµÐ¹ Ð¿Ð°Ð½Ð´ÐµÐ¼Ð¸Ð¸ COVID-19. ÐÑÐ´Ð¸ ÑÐ¾Ð±Ð»ÑÐ´Ð°ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÑÑÑ Ð·Ð°ÑÐ¸ÑÐ½ÑÐµ ÑÑÐµÐ´ÑÑÐ²Ð° Ð´Ð»Ñ Ð¾ÑÐ³Ð°Ð½Ð¾Ð² Ð´ÑÑÐ°Ð½Ð¸Ñ, Ð½Ð¾ Ð¿ÑÐ¸ ÑÑÐ¾Ð¼ ÑÐ½Ð¸Ð¶Ð°ÐµÑÑÑ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð¸Ð¼ÐµÑÑÐ¸ÑÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð»Ð¸Ñ Ð² Ð¾Ð±ÑÐµÑÑÐ²ÐµÐ½Ð½ÑÑ Ð¼ÐµÑÑÐ°Ñ. Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ Ð²Ð¾ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð»Ð¸ÑÐ° ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ð² Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð¼Ð°ÑÐºÐµ, ÐºÐ¾ÑÐ¾ÑÐ°Ñ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÐµÑ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¾Ð´Ð½Ð¾ÑÐµÐºÑÐ½Ð´Ð½Ð¾Ð³Ð¾ Ð²Ð¸Ð´ÐµÐ¾ Ð² 89% ÑÐ»ÑÑÐ°ÐµÐ² Ð¿ÑÐ°Ð²Ð¸Ð»ÑÐ½Ð¾ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑ ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ñ ÑÑÐ¾Ð½ÑÐ°Ð»ÑÐ½ÑÑ ÑÐ°ÐºÑÑÑÐ¾Ð² ÑÑÑÐ¼ÐºÐ¸ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ ÑÑÐ°Ð»Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð»Ð¸Ñ. ÐÑÐ¾Ð²Ð¾Ð´Ð¸ÑÑÑ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¸ Ð¾Ð¿Ð¸ÑÐ°Ð½Ð¸Ðµ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÑ ÑÑÐµÐ½Ð°ÑÐ¸ÐµÐ² Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¸Ð¼ÐµÑÑÐ¸ÑÑÑ Ð¾Ð³ÑÐ°Ð½Ð¸ÑÐµÐ½Ð¸Ð¹ Ð² ÑÐµÐºÑÑÐµÐ¹ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸.
description: The subject of the graduate qualification work is &lt;&gt;. The problem of recognizing the face of a person in a medical mask is currently very relevant due to the ongoing COVID-19 pandemic. People follow the recommendations and use respiratory protective equipment, but the effectiveness of existing face recognition methods in public places is reduced. In this paper, we consider the implementation of a system for restoring a person's face based on images of a person in a medical mask, which allows, based on a 1-second video, in 89% of cases to correctly identify a person from the front camera angles using a state-of-the-art facial recognition system. The developed system is analyzed and the main usage scenarios are described, as well as the existing limitations in the current implementation.