Thermal imaging application in evidence securing

Physical and personal evidence are often considered in criminal literature. New scientific and technical methods and achievements are also applied in securing evidence material for the court’s needs. Thus, the thermal imaging technique can be used to provide primarily physical, as well as personal proofs. The paper presents an overview of the possibility of thermal imaging application in various forensic areas, bearing in mind that the thermal imaging technique is based on the fact that the heated bodies emit the thermal radiation that is registered by the existence of different temperature fields on the recorded objects

What you can't see can help you -- extended-range imaging for 3D-mask presentation attack detection

We show how imagery in NIR and LWIR bandwidths can be used to detect 2D as well as mask based presentation attacks on face-recognition systems

Facial Analysis for Real-Time Application: A Review in Visual Cues Detection Techniques

YesEmerging applications in surveillance, the entertainment industry and other human computer interaction applications have motivated the development of real-time facial analysis research covering detection, tracking and recognition. In this paper, the authors present a review of recent facial analysis for real-time applications, by providing an up-to-date review of research efforts in human computing techniques in the visible domain. The main goal is to provide a comprehensive reference source for researchers, regardless of specific research areas, involved in real-time facial analysis. First, the authors undertake a thorough survey and comparison in face detection techniques. In this survey, they discuss some prominent face detection methods presented in the literature. The performance of the techniques is evaluated by using benchmark databases. Subsequently, the authors provide an overview of the state-of-the-art of facial expressions analysis and the importance of psychology inherent in facial expression analysis. During the last decades, facial expressions analysis has slowly evolved into automatic facial expressions analysis due to the popularity of digital media and the maturity of computer vision. Hence, the authors review some existing automatic facial expressions analysis techniques. Finally, the authors provide an exemplar for the development of a facial analysis real-time application and propose a model for facial analysis. This review shows that facial analysis for real-time application involves multi-disciplinary aspects and it is important to take all domains into account when building a reliable system