TY  - CONF
AU  - Ajian Liu
AU  - Jun Wan
AU  - Sergio Escalera
AU  - Hugo Jair Escalante
AU  - Zichang Tan
AU  - Qi Yuan
AU  - Kai Wang
AU  - Chi Lin
AU  - Guodong Guo
AU  - Isabelle Guyon
AU  - Stan Z. Li
A2  - CVPRW
PY  - 2019//
TI  - Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019
BT  - IEEE International Conference on Computer Vision and Pattern Recognition-Workshop
N2  - Anti-spoofing attack detection is critical to guarantee the security of face-based authentication and facial analysis systems. Recently, a multi-modal face anti-spoofing dataset, CASIA-SURF, has been released with the goal of boosting research in this important topic. CASIA-SURF is the largest public data set for facial anti-spoofing attack detection in terms of both, diversity and modalities: it comprises 1,000 subjects and 21,000 video samples. We organized a challenge around this novel resource to boost research in the subject. The Chalearn LAP multi-modal face anti-spoofing attack detection challenge attracted more than 300 teams for the development phase with a total of 13 teams qualifying for the final round. This paper presents an overview of the challenge, including its design, evaluation protocol and a summary of results. We analyze the top ranked solutions and draw conclusions derived from the competition. In addition we outline future work directions.
L1  - http://refbase.cvc.uab.es/files/LWE2019.pdf
N1  - HuPBA; no proj
ID  - Ajian Liu2019
ER  -