3D Face Compression and Recognition Using Spherical Wavelet Parametrization
In this paper an innovative fully automated 3D face compression and recognition system is presented. Several novelties are introduced to make the system performance robust and efficient. These novelties include: first, an automatic pose correction and normalization process by using curvature analysis for nose tip detection and Iterative Closest Point (ICP) image registration. Second, the use of spherical based wavelet coefficients for efficient representation of the 3D face. The spherical wavelet transformation is used to decompose the face image into multi-resolution sub images characterizing the underlying functions in a local fashion in both spacial and frequency domains.