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Face Liveness Detection Competition (LivDet-Face) - 2024
Lambert Igene;Afzal Hossain;Mohammad Zahir Uddin Chowdhury;Humaira Rezaie;Ayden Rollins;Jesse Dykes;Rahul Vijaykumar;Alain Komaty;Sébastien Marcel;Stephanie Schuckers;Juan E. Tapia;Carlos Aravena;Daniel Schulz;Banafsheh Adami;Nima Karimian;Diogo Nunes;João Marcos;Nuno Gonçalves;Lovro Sikošek;Borut Batagelj;Aleksandr Alenin;Alhasan Alkhaddour;Anton Pimenov;Artem Tregubov;Igor Avdonin;Maxim Kazantsev;Mikhail Pozigun;Vasiliy Pryadchenko;Nima Schei;David Pabon;Manuela Tiedemann
2024 IEEE International Joint Conference on Biometrics (IJCB)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Imagine a world where a copy of your face could trick the most advanced security systems. This isn’t science fiction; it’s a real challenge today. LivDet-Face is a competition that aims to advance the detection of attacks at the biometric sensor, known as Presentation Attack Detection (PAD). This international contest is a key benchmark in biometric security, offering an unbiased look at the lates...Show More
Face Liveness Detection Competition (LivDet-Face) - 2024
Lambert Igene;Afzal Hossain;Mohammad Zahir Uddin Chowdhury;Humaira Rezaie;Ayden Rollins;Jesse Dykes;Rahul Vijaykumar;Alain Komaty;Sébastien Marcel;Stephanie Schuckers;Juan E. Tapia;Carlos Aravena;Daniel Schulz;Banafsheh Adami;Nima Karimian;Diogo Nunes;João Marcos;Nuno Gonçalves;Lovro Sikošek;Borut Batagelj;Aleksandr Alenin;Alhasan Alkhaddour;Anton Pimenov;Artem Tregubov;Igor Avdonin;Maxim Kazantsev;Mikhail Pozigun;Vasiliy Pryadchenko;Nima Schei;David Pabon;Manuela Tiedemann
Year: 2024 | Conference Paper |
First Competition on Presentation Attack Detection on ID Card
Juan E. Tapia;Naser Damer;Christoph Busch;Juan M. Espin;Javier Barrachina;Alvaro S. Rocamora;Krištof Ocvirk;Leon Alessio;Borut Batagelj;Sushrut Patwardhan;Raghavendra Ramachandra;Raghavendra Mudgalgundurao;Kiran Raja;Daniel Schulz;Carlos Aravena
2024 IEEE International Joint Conference on Biometrics (IJCB)
Year: 2024 | Conference Paper |
This paper summarises the Competition on Presentation Attack Detection on ID Cards (PAD-IDCard) held at the 2024 International Joint Conference on Biometrics (IJCB 2024). The competition attracted a total of ten registered teams, both from academia and industry. In the end, the participating teams submitted five valid submissions, with eight models to be evaluated by the organisers. The competitio...Show More
First Competition on Presentation Attack Detection on ID Card
Juan E. Tapia;Naser Damer;Christoph Busch;Juan M. Espin;Javier Barrachina;Alvaro S. Rocamora;Krištof Ocvirk;Leon Alessio;Borut Batagelj;Sushrut Patwardhan;Raghavendra Ramachandra;Raghavendra Mudgalgundurao;Kiran Raja;Daniel Schulz;Carlos Aravena
Year: 2024 | Conference Paper |
Comparative Study of Keypoint Detection and ArUco Marker Methods for Optical 6D Pose Estimation in Electronics Packaging
Lucas Janisch;Daniel Schulz;Alexander Schmidt;Raven Reisch;Tobias Kamps;Jörg Franke
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
Year: 2024 | Conference Paper |
The push for miniaturization and functional integration in electronics packaging is driving the adoption of increasingly complex three-dimensional designs, necessitating advanced optical 6D Pose Estimation techniques for precise automated manufacturing. This study covers the development, investigation, and comparison of two distinct optical approaches aimed at achieving precise pose detection with...Show More
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data
Meiling Fang;Marco Huber;Julian Fierrez;Raghavendra Ramachandra;Naser Damer;Alhasan Alkhaddour;Maksim Kasantcev;Vasiliy Pryadchenko;Ziyuan Yang;Huijie Huangfu;Yingyu Chen;Yi Zhang;Yuchen Pan;Junjun Jiang;Xianming Liu;Xianyun Sun;Caiyong Wang;Xingyu Liu;Zhaohua Chang;Guangzhe Zhao;Juan Tapia;Lazaro Gonzalez-Soler;Carlos Aravena;Daniel Schulz
2023 IEEE International Joint Conference on Biometrics (IJCB)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This paper presents a summary of the Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data (SynFacePAD 2023) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition attracted a total of 8 participating teams with valid submissions from academia and industry. The competition aimed to motivate and attract solutions that ta...Show More
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data
Meiling Fang;Marco Huber;Julian Fierrez;Raghavendra Ramachandra;Naser Damer;Alhasan Alkhaddour;Maksim Kasantcev;Vasiliy Pryadchenko;Ziyuan Yang;Huijie Huangfu;Yingyu Chen;Yi Zhang;Yuchen Pan;Junjun Jiang;Xianming Liu;Xianyun Sun;Caiyong Wang;Xingyu Liu;Zhaohua Chang;Guangzhe Zhao;Juan Tapia;Lazaro Gonzalez-Soler;Carlos Aravena;Daniel Schulz
Year: 2023 | Conference Paper |
Iris Liveness Detection Competition (LivDet-Iris) – The 2023 Edition
Patrick Tinsley;Sandip Purnapatra;Mahsa Mitcheff;Aidan Boyd;Colton Crum;Kevin Bowyer;Patrick Flynn;Stephanie Schuckers;Adam Czajka;Meiling Fang;Naser Damer;Xingyu Liu;Caiyong Wang;Xianyun Sun;Zhaohua Chang;Xinyue Li;Guangzhe Zhao;Juan Tapia;Christoph Busch;Carlos Aravena;Daniel Schulz
2023 IEEE International Joint Conference on Biometrics (IJCB)
Year: 2023 | Conference Paper |
Cited by: Papers (5)
This paper describes the results of the 2023 edition of the “LivDet” series of iris presentation attack detection (PAD) competitions. New elements in this fifth competition include (1) GAN-generated iris images as a category of presentation attack instruments (PAI), and (2) an evaluation of human accuracy at detecting PAI as a reference benchmark. Clarkson University and the University of Notre Da...Show More
Iris Liveness Detection Competition (LivDet-Iris) – The 2023 Edition
Patrick Tinsley;Sandip Purnapatra;Mahsa Mitcheff;Aidan Boyd;Colton Crum;Kevin Bowyer;Patrick Flynn;Stephanie Schuckers;Adam Czajka;Meiling Fang;Naser Damer;Xingyu Liu;Caiyong Wang;Xianyun Sun;Zhaohua Chang;Xinyue Li;Guangzhe Zhao;Juan Tapia;Christoph Busch;Carlos Aravena;Daniel Schulz
Year: 2023 | Conference Paper |
Identity Documents Image Quality Assessment
2022 30th European Signal Processing Conference (EUSIPCO)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
In this work, a No-Reference method for assessing quality of ID Card images is developed, using a combination of Face Image Quality Assessment and Text Quality Assessment, motivated by the fact that face and text are two of the main components on an ID Card. For evaluation, a new private dataset was created, consisting of 12,960 Chilean ID Cards, with their corresponding printed facial reference i...Show More
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