Commercial application of facial recognition demands robustness to a variety challenges such as illumination, occlusion, spoofing, disguise, etc. Disguised face is one the emerging issues for access control systems, security checkpoints at borders. However, lack availability databases with disguise add-ons limits development academic research in area. In this paper, we present multi-modal disgu...

Abstract The problem of transferring data from a database one type to another is relevant today due the increase in volumes and complexity tasks solved various fields human activity. existing databases are less satisfying needs users. New types appear that more suitable for solving large-scale problems. This article proposes an algorithm optimizing document structure based on metadata about dis...

Background: Accurate brain tissue segmentation from magnetic resonance (MR) images is an important step in analysis of cerebral images. There are software packages which are used for brain segmentation. These packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. Thus, assessment of the quality of the segmented gray matter (GM), ...

We propose a constrained version of Mumford and Shah's (1989) segmentation model with an information-theoretic point of view in order to devise a systematic procedure to segment brain magnetic resonance imaging (MRI) data for parametric T(1)-Map and T(1)-weighted images, in both 2-D and 3D settings. Incorporation of a tuning weight in particular adds a probabilistic flavor to our segmentation m...