Face recognition: challenges, achievements and future directions
M Hassaballah, S Aly - IET Computer Vision, 2015 - Wiley Online Library
Face recognition has received significant attention because of its numerous applications in
access control, law enforcement, security, surveillance, Internet communication and …
access control, law enforcement, security, surveillance, Internet communication and …
A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution
Heterogeneous face recognition (HFR) refers to matching face imagery across different
domains. It has received much interest from the research community as a result of its …
domains. It has received much interest from the research community as a result of its …
A comprehensive database for benchmarking imaging systems
Cross-modality face recognition is an emerging topic due to the wide-spread usage of
different sensors in day-to-day life applications. The development of face recognition …
different sensors in day-to-day life applications. The development of face recognition …
Unconstrained face recognition: Identifying a person of interest from a media collection
As face recognition applications progress from constrained sensing and cooperative
subjects scenarios (eg, driver's license and passport photos) to unconstrained scenarios …
subjects scenarios (eg, driver's license and passport photos) to unconstrained scenarios …
Optimal deep learning based convolution neural network for digital forensics face sketch synthesis in internet of things (IoT)
The rapid development in 5G cellular and IoT technologies is expected to be deployed
widespread in the next few years. At the same time, crime rates are also increasing to a …
widespread in the next few years. At the same time, crime rates are also increasing to a …
Multiple representations-based face sketch–photo synthesis
Face sketch-photo synthesis plays an important role in law enforcement and digital
entertainment. Most of the existing methods only use pixel intensities as the feature. Since …
entertainment. Most of the existing methods only use pixel intensities as the feature. Since …
A review on state-of-the-art face recognition approaches
Automatic Face Recognition (FR) presents a challenging task in the field of pattern
recognition and despite the huge research in the past several decades; it still remains an …
recognition and despite the huge research in the past several decades; it still remains an …
Matching software-generated sketches to face photographs with a very deep CNN, morphed faces, and transfer learning
C Galea, RA Farrugia - IEEE Transactions on Information …, 2017 - ieeexplore.ieee.org
Sketches obtained from eyewitness descriptions of criminals have proven to be useful in
apprehending criminals, particularly when there is a lack of evidence. Automated methods to …
apprehending criminals, particularly when there is a lack of evidence. Automated methods to …
LemurFaceID: A face recognition system to facilitate individual identification of lemurs
Background Long-term research of known individuals is critical for understanding the
demographic and evolutionary processes that influence natural populations. Current …
demographic and evolutionary processes that influence natural populations. Current …
Data augmentation-based joint learning for heterogeneous face recognition
Heterogeneous face recognition (HFR) is the process of matching face images captured
from different sources. HFR plays an important role in security scenarios. However, HFR …
from different sources. HFR plays an important role in security scenarios. However, HFR …