Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

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 …

Protest event analysis is an important method for the study of collective action and social
movements and typically draws on traditional media reports as the data source. We …

Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

The increased need for unattended authentication in multiple scenarios has motivated a
wide deployment of biometric systems in the last few years. This has in turn led to the …

Purpose: To develop and assess a method for predicting the likelihood of converting from
early/intermediate to advanced wet age-related macular degeneration (AMD) using optical …

We propose a method to estimate the mechanical parameters of fabrics using a casual
capture setup with a depth camera. Our approach enables to create mechanically‐correct …

Periocular is one of the promising biometric traits for human recognition. It encompasses a
surrounding area of eyes that includes eyebrows, eyelids, eyelashes, eye-folds, eyebrows …

With the advancements in technology, smartphones' capabilities have increased immensely.
For instance, the smartphone cameras are being used for face and ocular biometric-based …

Neural networks have been rapidly expanding in recent years, with novel strategies and
applications. However, challenges such as interpretability, explainability, robustness, safety …