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Title:ULTRA-FAST HOLOGRAPHIC RECORDING AND AUTOMATIC 3D SCAN MATCHING OF LIVING HUMAN FACES
DOI No:10.1142/9789812702678_0007
Source:PERSPECTIVE IN IMAGE-GUIDED SURGERY (pp 43-50)
Author(s):DOMINIK GIEL
caesar foundation, Ludwig Erhard Allee 2, D-53175 Bonn, Germany

SUSANNE FREY
caesar foundation, Ludwig Erhard Allee 2, D-53175 Bonn, Germany

ANDREA THELEN
caesar foundation, Ludwig Erhard Allee 2, D-53175 Bonn, Germany

JENS BONGARTZ
caesar foundation, Ludwig Erhard Allee 2, D-53175 Bonn, Germany

PETER HERING
caesar foundation, Ludwig Erhard Allee 2, D-53175 Bonn, Germany

ANDREAS NÜCHTER
Fraunhofer Institute for Autonomous Intelligent Systems (AIS), Schloss Birlinghoven, D-53754 Sankt Augustin, Germany

HARTMUT SURMANN
Fraunhofer Institute for Autonomous Intelligent Systems (AIS), Schloss Birlinghoven, D-53754 Sankt Augustin, Germany

KAI LINGEMANN
Fraunhofer Institute for Autonomous Intelligent Systems (AIS), Schloss Birlinghoven, D-53754 Sankt Augustin, Germany

JOACHIM HERTZBERG
Fraunhofer Institute for Autonomous Intelligent Systems (AIS), Schloss Birlinghoven, D-53754 Sankt Augustin, Germany

Abstract: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° 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) algorithm2 is used to compute such a minimum. We propose a new fast approximation based on kD-trees for the problem of creating the closest point pairs on which the ICP algorithm spends most of its time.
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