Facial recognition system introduced varying technologies to the procedure. Some of the most notable include the following techniques: Some face recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject's face. For example, an algorithm may analyze the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features. Other algorithms normalize a gallery of face images and then compress the face data, only saving the data in the image that is useful for face recognition. A probe image is then compared with
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