  Colorization of gray-scale images relies on prior color information.
Examplar-based methods use a color image as source of such information. Then
the colors of the source image are transferred to the gray-scale image. In the
literature, this transfer is mainly guided by texture descriptors. Face images
usually contain few texture so that the common approaches frequently fail. In
this paper we propose a new method based on image morphing. This technique is
able to compute a correspondence map between images with similar shapes. It is
based on the geometric structure of the images rather than textures which is
more reliable for faces. Our numerical experiments show that our morphing based
approach clearly outperforms state-of-the-art methods.
