3D craniofacial reconstruction using reference skull-face database

Abstract

Craniofacial reconstruction is aiming at estimating the outlook of an unknown or an unidentified skull. In this paper, we present an approach of the craniofacial reconstruction of Chinese people. Firstly, we build a skull-face database and classify it in terms of age, area and gender. Then Thin-Plate spline (TPS) is adopted to achieve non-rigid registration between the unidentified skull and reference skull. however, the craniofacial result is determined by the choice of reference template. Here a statistic method is adopted to estimate outlook from subclass of skull-face database using Principle component analysis. In order to improve the accuracy of the result, we select the suitable organ (eyes, nose and mouth) for the statistic result based on anatomy principle from the database and achieve the organ and face integration to build the final outlook. Finally, we show some experiments of the algorithm.