In the literature of psychophysics and neurophysiology, many studies have shown that both
global and local features are crucial for face representation and recognition. This paper …

Innovation has formed much of the rich history in biometrics. The field of soft biometrics was
originally aimed to augment the recognition process by fusion of metrics that were sufficient …

When explaining a recognition approach that can be used in facial analysis, eg, face
verification, face detection, attribute recognition, etc., the task is to answer: how relevant are …

3D modeling and reconstruction are critical to creating immersive XR experiences, providing
realistic virtual environments, objects, and interactions that increase user engagement and …

Facial imaging has been largely addressed for automatic personal identification, in a variety
of different environments. However, automatic face recognition becomes very challenging …

The high resolution field of view of the human eye only covers a tiny fraction of the total field
of view. While this arrangement allows for great economy in computational resources, it …

Getting familiar with a face is an important cognitive process in human perception of faces,
but little study has been reported on how to objectively measure the degree of familiarity. In …

Face recognition is one of the most challenging biometric modalities for personal
identification. This is due to a number of factors, including the complexity and variability of …

Multiple research has shown the advantage of patch-based or local representation for face
recognition. This paper builds on a novel way of putting the patches in context, using a …

The paper discusses several issues of visual similarity in face detection and recognition.
Using a straightforward concept of keypoint correspondences, a method is proposed to …