Fast Image Synthesis of 2D Infrared Facial Images

Pose determination of human faces plays an important role in face recognition. The traditional way of
dealing with pose-variation is to use a number of representative images in different poses. In this project, we will
synthesize virtual images at different pose using few reference images in the pose space. Fast methods to find
correspondence between reference images will be explored. To deal with the intensity variation of IR images
among individuals and to further deduce computation, modeling method will be adopted. The synthesized IR
images can be used to interpolate virtual views between real views to provide more “samples” or to produce a
standard frontal view for recognition.