Toru Okazaki

Basis generation and description of facial images using principal-component analysis

The human face includes a great deal of information related to individual features. If it were possible to describe facial images by means of parameters, one could think of a variety of applications. In this paper, wireframe models are applied to facial images, and orthogonal facial bases are found using principal-component analysis, while shape-related data and texture-related data are treated separately. By means of these facial bases, effective parametric description of facial images is achieved. The proposed method supports not only analysis of facial images but also image synthesis using obtained parameters.