Ultra-fast holographic recording and
automatic 3D scan matching of
living human faces

Dominik Giel, Susanne Frey, Andrea Thelen,

Jens Bongartz, Peter Hering

caesar foundation
Ludwig Erhard Allee 2, D-53175 Bonn, Germany
E-mail: {giel,frey,thelen,bongartz,hering}@caesar.de

Andreas Nüchter, Hartmut Surmann,

Kai Lingemann, Joachim Hertzberg

Fraunhofer Institute for Autonomous Intelligent Systems (AIS)
Schloss Birlinghoven, D-53754 Sankt Augustin, Germany
E-mail: {nuechter,surmann,lingemann,hertzberg}@ais.fraunhofer.de

3D models of the skin surface of patients are created by ultra-fast holography and automatic scan matching of synchronously recorded holograms. By recording with a pulsed laser and continuous-wave optical reconstruction of the holographic real image, motion artifacts are eliminated. Focal analysis of the real image yields a surface relief of the patient. To generate a complete 360$^\circ$ patient model, several synchronously recorded reliefs are registered by automatic scan matching. We find the transformation consisting of a rotation and a translation that minimizes a cost function containing the Euclidian distances between points pairs from two surface relief maps. A variant of the ICP (Iterative Closest Points) algorithm[2] is used to compute such a minimum. We propose a new fast approximation based on $k$D-trees for the problem of creating the closest point pairs on which the ICP algorithm spends most of its time.