Soft biometrics: A survey: Benchmark analysis, open challenges and recommendations
B Hassan, E Izquierdo, T Piatrik - Multimedia Tools and Applications, 2021 - Springer
The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …
individual based on the persons physiological or behaviour traits. While the use of intrusive …
Deep-learning cardiac motion analysis for human survival prediction
Motion analysis is used in computer vision to understand the behaviour of moving objects in
sequences of images. Optimizing the interpretation of dynamic biological systems requires …
sequences of images. Optimizing the interpretation of dynamic biological systems requires …
Neural networks for facial age estimation: a survey on recent advances
Soft biometrics has emerged out to be a new area of interest for the researchers due to its
growing real-world applications. It includes the estimation of demographic traits like age …
growing real-world applications. It includes the estimation of demographic traits like age …
Maad-face: A massively annotated attribute dataset for face images
Soft-biometrics play an important role in face biometrics and related fields since these might
lead to biased performances, threaten the user's privacy, or are valuable for commercial …
lead to biased performances, threaten the user's privacy, or are valuable for commercial …
[HTML][HTML] Comparison of deep learning classification models for facial image age estimation in digital forensic investigations
There has been a significant rise in digital forensic investigations containing Indecent
Images of Children (IIoC), and one of the major challenges faced by investigators is the time …
Images of Children (IIoC), and one of the major challenges faced by investigators is the time …
[PDF][PDF] Dermatological classification using deep learning of skin image and patient background knowledge
K Sriwong, S Bunrit, K Kerdprasop… - International Journal of …, 2019 - ijml.org
Skin cancer is one of the most common human malignancies. It is a kind of skin diseases
caused by abnormal growth of skin cells. Clinically, dermatological disease including skin …
caused by abnormal growth of skin cells. Clinically, dermatological disease including skin …
A multifeature learning and fusion network for facial age estimation
Age estimation from face images has attracted much attention due to its favorable and many
real-world applications such as video surveillance and social networking. However, most …
real-world applications such as video surveillance and social networking. However, most …
Reliable age and gender estimation from face images: Stating the confidence of model predictions
Automated age and gender estimation became of great importance for many potential
applications ranging from forensics to social media. Although previous works reported high …
applications ranging from forensics to social media. Although previous works reported high …
[HTML][HTML] Prediction of the remaining time and time interval of pebbles in pebble bed HTGRs aided by CNN via DEM datasets
Prediction of the time-related traits of pebble flow inside pebble-bed HTGRs is of great
significance for reactor operation and design. In this work, an image-driven approach with …
significance for reactor operation and design. In this work, an image-driven approach with …
Deep learning-based parasitic egg identification from a slender-billed gull's nest
Intraspecific nest parasitism is a phenomenon that attracts the attention of biologists since it
helps in saving the endangered species such as Slender Billed Gull. The problem comes …
helps in saving the endangered species such as Slender Billed Gull. The problem comes …