Large Crowdcollected Facial Anti-Spoofing Dataset

Denis Timoshenko, Konstantin Simonchik, Vitaly Shutov, Polina Zhelezneva, Valery Grishkin

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

11 Загрузки (Pure)

Аннотация

The study about the vulnerabilities of biometric systems against spoofing has been a very active field of research in recent years. In this particular research we are focusing on one of the most difficult types of attack - video replay. We have noticed that currently most of face replay anti-spoofing databases focus on data with little variations of the devices used for replay and record. This fact may limit the generalization performance of trained models since potential attacks in the real world are probably more complex. In this review we present a face anti-spoofing database, which covers a huge range of different devices used for recording and for the video playback. The database contains 1942 genuine images, and 16885 fake faces are made from high quality records of the genuine faces. The database was collected using Amazon Mechanical Turk and Yandex Toloka services. The database was manually checked and the test protocol was provided. Some methods are also provided to be used as a baseline for future research. We hope that database as such can serve as an evaluation platform for the future studies in the literature.

Язык оригиналаанглийский
Название основной публикации12th International Conference on Computer Science and Information Technologies, CSIT 2019
РедакторыSamvel Shoukourian
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы123-126
Число страниц4
ISBN (электронное издание)9781728128580
DOI
СостояниеОпубликовано - сен 2019
Событие12th International Conference on Computer Science and Information Technologies, CSIT 2019 - Yerevan, Армения
Продолжительность: 23 сен 201927 сен 2019

Серия публикаций

Название12th International Conference on Computer Science and Information Technologies, CSIT 2019

конференция

конференция12th International Conference on Computer Science and Information Technologies, CSIT 2019
СтранаАрмения
ГородYerevan
Период23/09/1927/09/19

Предметные области Scopus

  • Искусственный интеллект
  • Компьютерные сети и коммуникации
  • Аппаратное обеспечение и архитектура ЭВМ
  • Программный продукт
  • Математика и теория расчета
  • Теория оптимизации

Fingerprint Подробные сведения о темах исследования «Large Crowdcollected Facial Anti-Spoofing Dataset». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать