Monocular Facial Presentation–Attack–Detection: Classifying Near-Infrared Reflectance Patterns
This paper presents a novel material spectroscopy approach to facial presentation–attack–defense (PAD). Best-in-class PAD methods typically detect artifacts in the 3D space. This paper proposes similar features can be achieved in a monocular, single-frame approach by using controlled light. A mathem...
Main Authors: | Ali Hassani, Jon Diedrich, Hafiz Malik |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/3/1987 |
Similar Items
-
Improving Monocular Facial Presentation–Attack–Detection Robustness with Synthetic Noise Augmentations
by: Ali Hassani, et al.
Published: (2023-11-01) -
Face presentation attack detection based on optical flow and texture analysis
by: Lei Li, et al.
Published: (2022-04-01) -
PENERAPAN METODE TSTS (TWO STAY TWO STRAY) UNTUK MENINGKATKAN KEAKTIFAN DAN HASIL BELAJAR MELAKUKAN PERBAIKAN ENGINE BERIKUT KOMPONEN-KOMPONENNYA SISWA KELAS X JURUSAN TEKNIK SEPEDA MOTOR SMK TAMANSISWA NAGGULAN 2015/2016
by: Patrisius Meon Herin, et al.
Published: (2017-06-01) -
4D Facial Avatar Reconstruction From Monocular Video via Efficient and Controllable Neural Radiance Fields
by: Jeong-Gi Kwak, et al.
Published: (2024-01-01) -
Adversarial Patch Attacks on Monocular Depth Estimation Networks
by: Koichiro Yamanaka, et al.
Published: (2020-01-01)