skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Face-Off: Pitting Computational Models of the Fusiform Face Area Against Each Other with Controversial Face Stimuli
Award ID(s):
1948004
PAR ID:
10561125
Author(s) / Creator(s):
; ; ;
Corporate Creator(s):
Publisher / Repository:
Cognitive Computational Neuroscience
Date Published:
Format(s):
Medium: X
Location:
Oxford, UK
Sponsoring Org:
National Science Foundation
More Like this
  1. null (Ed.)
  2. Liveness Detection (LivDet)-Face is an international competition series open to academia and industry. The competition’s objective is to assess and report state-of-the-art in liveness / Presentation Attack Detection (PAD) for face recognition. Impersonation and presentation of false samples to the sensors can be classified as presentation attacks and the ability for the sensors to detect such attempts is known as PAD. LivDet-Face 2021 * will be the first edition of the face liveness competition. This competition serves as an important benchmark in face presentation attack detection, offering (a) an independent assessment of the current state of the art in face PAD, and (b) a common evaluation protocol, availability of Presentation Attack Instruments (PAI) and live face image dataset through the Biometric Evaluation and Testing (BEAT) platform. The competition can be easily followed by researchers after it is closed, in a platform in which participants can compare their solutions against the LivDet-Face winners. 
    more » « less