Face recognition: Past, present and future (a review)
Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …
behavioral characteristics of an individual. The main feature of biometric systems is the use …
Masked face recognition with convolutional neural networks and local binary patterns
Face recognition is one of the most common biometric authentication methods as its
feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …
feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …
BAUM-1: A spontaneous audio-visual face database of affective and mental states
S Zhalehpour, O Onder, Z Akhtar… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In affective computing applications, access to labeled spontaneous affective data is
essential for testing the designed algorithms under naturalistic and challenging conditions …
essential for testing the designed algorithms under naturalistic and challenging conditions …
Driver drowsiness monitoring based on yawning detection
S Abtahi, B Hariri… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Fatigue and drowsiness of drivers are amongst the significant causes of road accidents. In
this paper, we discuss a method for detecting drivers' drowsiness and subsequently alerting …
this paper, we discuss a method for detecting drivers' drowsiness and subsequently alerting …
[PDF][PDF] A comprehensive survey on human skin detection
MR Mahmoodi, SM Sayedi - … Journal of Image, Graphics and Signal …, 2016 - mecs-press.org
Human Skin detection is one of the most widely used algorithms in vision literature which
has been numerously exploited both directly and indirectly in multifarious applications. This …
has been numerously exploited both directly and indirectly in multifarious applications. This …
Synthetic to real adaptation with generative correlation alignment networks
Synthetic images rendered from 3D CAD models are useful for augmenting training data for
object recognition algorithms. However, the generated images are nonphotorealistic and do …
object recognition algorithms. However, the generated images are nonphotorealistic and do …
MTCNN and FACENET based access control system for face detection and recognition
C Wu, Y Zhang - Automatic Control and Computer Sciences, 2021 - Springer
Face detection and recognition is one of the research hotspots in the field of computer
vision, which is widely used in video surveillance and identity matching. The traditional …
vision, which is widely used in video surveillance and identity matching. The traditional …
A novel approach for human skin detection using convolutional neural network
K Ben Salah, M Othmani, M Kherallah - The Visual Computer, 2022 - Springer
Human skin detection, which is one of the important pre-processing phases, has a wide
range of applications such as face tracking, skin diseases, video surveillance, web content …
range of applications such as face tracking, skin diseases, video surveillance, web content …
Detecting changes in aerial views of man-made structures
A Huertas, R Nevatia - Image and Vision Computing, 2000 - Elsevier
An important application of machine vision is to provide a means to monitor a scene over a
period of time and report significant changes. Comparing intensity values of successive …
period of time and report significant changes. Comparing intensity values of successive …
A skin segmentation algorithm based on stacked autoencoders
A good skin detector that is capable of capturing skin tones under different conditions is
important for human-machine interaction applications. In a general situation, skin detectors …
important for human-machine interaction applications. In a general situation, skin detectors …