Latent-OFER: detect, mask, and reconstruct with latent vectors for occluded facial expression recognition
Most research on facial expression recognition (FER) is conducted in highly controlled
environments, but its performance is often unacceptable when applied to real-world …
environments, but its performance is often unacceptable when applied to real-world …
Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification
Though most of the faces are axis-symmetrical objects, few real-world face images are axis-
symmetrical images. In the past years, there are many studies on face recognition, but only …
symmetrical images. In the past years, there are many studies on face recognition, but only …
A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression
B Lahasan, SL Lutfi, R San-Segundo - Artificial Intelligence Review, 2019 - Springer
Face recognition is receiving a significant attention due to the need of facing important
challenges when developing real applications under unconstrained environments. The …
challenges when developing real applications under unconstrained environments. The …
Face recognition with liveness detection using eye and mouth movement
The recent literature on face recognition technology discusses the issue of face spoofing
which can bypass the authentication system by placing a photo/video/mask of the enrolled …
which can bypass the authentication system by placing a photo/video/mask of the enrolled …
Classification of histopathology images of lung cancer using convolutional neural network (CNN)
N Baranwal, P Doravari… - Disruptive Developments in …, 2022 - taylorfrancis.com
Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …
[HTML][HTML] Facenet recognition algorithm subject to multiple constraints: assessment of the performance
Literature has it that the performance of most face recognition algorithms still decline in
multiple constrained environments (Occlusions and Expressions), despite the achieved …
multiple constrained environments (Occlusions and Expressions), despite the achieved …
Recognition of Reconstructed Frontal Face Images Using FFT‐PCA/SVD Algorithm
Face recognition has gained prominence among the various biometric‐based methods
(such as fingerprint and iris) due to its noninvasive characteristics. Modern face recognition …
(such as fingerprint and iris) due to its noninvasive characteristics. Modern face recognition …
Evaluation of the DWT‐PCA/SVD Recognition Algorithm on Reconstructed Frontal Face Images
The face is the second most important biometric part of the human body, next to the finger
print. Recognition of face image with partial occlusion (half image) is an intractable exercise …
print. Recognition of face image with partial occlusion (half image) is an intractable exercise …
Assessing the Performance of DWT‐PCA/SVD Face Recognition Algorithm under Multiple Constraints
Many architectures of face recognition modules have been developed to tackle the
challenges posed by varying environmental constraints such as illumination, occlusions …
challenges posed by varying environmental constraints such as illumination, occlusions …
Assessing the Effect of Data Augmentation on Occluded Frontal Faces Using DWT‐PCA/SVD Recognition Algorithm
The drift towards face‐based recognition systems can be attributed to recent advances in
supportive technology and emerging areas of application including voting systems, access …
supportive technology and emerging areas of application including voting systems, access …