CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity

J Li, Z Dong, S Lu, SJ Wang, WJ Yan… - … on Pattern Analysis …, 2022 - ieeexplore.ieee.org
Micro-expression (ME) is a significant non-verbal communication clue that reveals one
person's genuine emotional state. The development of micro-expression analysis (MEA) has …

A comprehensive review of face morph generation and detection of fraudulent identities

M Hamza, S Tehsin, M Humayun, MF Almufareh… - Applied Sciences, 2022 - mdpi.com
A robust facial recognition system that has soundness and completeness is essential for
authorized control access to lawful resources. Due to the availability of modern image …

On the role of thermal imaging in automotive applications: A critical review

MA Farooq, W Shariff, D O'callaghan, A Merla… - IEEE …, 2023 - ieeexplore.ieee.org
For decades, the number of automobiles in urban areas around the world has been
increasing. It causes serious challenges such as traffic congestion, accidents, and pollution …

Dvg-face: Dual variational generation for heterogeneous face recognition

C Fu, X Wu, Y Hu, H Huang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Heterogeneous face recognition (HFR) refers to matching cross-domain faces and plays a
crucial role in public security. Nevertheless, HFR is confronted with challenges from large …

A deep learning model for classifying human facial expressions from infrared thermal images

A Bhattacharyya, S Chatterjee, S Sen, A Sinitca… - Scientific reports, 2021 - nature.com
The analysis of human facial expressions from the thermal images captured by the Infrared
Thermal Imaging (IRTI) cameras has recently gained importance compared to images …

Memory-modulated transformer network for heterogeneous face recognition

M Luo, H Wu, H Huang, W He… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Heterogeneous face recognition (HFR) aims at matching face images across different
domains. It is challenging due to the severe domain discrepancies and overfitting caused by …

Speakingfaces: A large-scale multimodal dataset of voice commands with visual and thermal video streams

M Abdrakhmanova, A Kuzdeuov, S Jarju, Y Khassanov… - Sensors, 2021 - mdpi.com
We present SpeakingFaces as a publicly-available large-scale multimodal dataset
developed to support machine learning research in contexts that utilize a combination of …

A large-scale, time-synchronized visible and thermal face dataset

D Poster, M Thielke, R Nguyen… - Proceedings of the …, 2021 - openaccess.thecvf.com
Thermal face imagery, which captures the naturally emitted heat from the face, is limited in
availability compared to face imagery in the visible spectrum. To help address this scarcity of …

Understanding human reactions looking at facial microexpressions with an event camera

F Becattini, F Palai, A Del Bimbo - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the establishment of Industry 4.0, machines are now required to interact with workers.
By observing biometrics they can assess if humans are authorized, or mentally and …

Heterogeneous face recognition via face synthesis with identity-attribute disentanglement

Z Yang, J Liang, C Fu, M Luo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Heterogeneous Face Recognition (HFR) aims to match faces across different domains (eg,
visible to near-infrared images), which has been widely applied in authentication and …