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
Williams syndrome new patients with the same presentation. This led to the syndrome's full original name of Williams-Beuren syndrome, which is still used in some medical publications. From 1964 to 1975, small research reports broadened medical knowledge of this syndrome's cardiovascular problems. Then in 1975, K. Jones and D. Smith conducted a large-scale report on numerous patients with Williams syndrome, ranging in age from infancy to adulthood, and described the behavioral and observable physical symptoms in greater detail than previously recorded. The adjective "elfin" may have originated to describe the facial features of people with Williams syndrome; before Williams syndrome's scientific cause