Abstract-3D human face modeling has been a persistent
challenge in both computer vision and computer graphics. Face
modeling refers to modeling the 3D geometry of static or nonstatic
human faces which lays the foundation for model based
face analysis and facial animations. In this paper we have
surveyed the various methods available for generating 3D human
face models. Currently, the 3D face models can be captured using
the active range scanners like laser or structured light; or
reconstructed from the 2D images acquired by the passive
techniques. Shape from X and Model based reconstruction
techniques are the most commonly used methods for
reconstructing the 3D face model based on these 2D image(s).
However, the choice of the appropriate 3D reconstruction
algorithm relies greatly on the available resources as well as the
intended application.