Facial recognition system image by analyzing multiple facial regions and details. It consists of a non-linear regression model that maps a specific thermal image into a corresponding visible facial image and an optimization issue that projects the latent projection back into the image space. ARL scientists have noted that the approach works by combining global information (i.e. features across the entire face) with local information (i.e. features regarding the eyes, nose, and mouth). In addition to enhancing the discriminability of the synthesized image, the facial recognition system can be used to transform a thermal face signature into a refined visible image of a
Forensic facial reconstruction derived from proper application of reliable principles and methods. When multiple forensic artists produce approximations for the same set of skeletal remains, no two reconstructions are ever the same and the data from which approximations are created are largely incomplete. Because of this, forensic facial reconstruction does not uphold the Daubert Standard, is not considered a legally recognized technique for positive identification, and is not admissible as expert testimony. Currently, reconstructions are only produced to aid the process of positive identification in conjunction with verified methods. Two-dimensional facial reconstructions are based on ante mortem photographs, and the skull. Occasionally skull