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dc.contributor.authorPei, Yuruen_US
dc.contributor.authorZha, Hongbinen_US
dc.contributor.authorYuan, Zhongbiaoen_US
dc.description.abstractThe craniofacial reconstruction is employed as an initialization of the identification from skulls in forensics. In this paper, we present a two-level craniofacial reconstruction framework based on the local structural diversity of the skulls. On the low level, the holistic reconstruction is formulated as the superimposition of the selected tissue map on the novel skull. The crux is the accurate map registration, which is implemented as a warping guided by the 2D feature curve patterns. The curve pattern extraction under an energy minimization framework is proposed for the automatic feature labeling on the skull depth map. The feature configuration on the warped tissue map is expected to resemble that on the novel skull. In order to make the reconstructed faces personalized, on the high level, the local facial features are estimated from the skull measurements via a RBF model. The RBF model is learnt from a dataset of the skull and the face feature pairs extracted from the head volume data. The experiments demonstrate the facial outlooks can be reconstructed feasibly and efficiently.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleThe Craniofacial Reconstruction from the Local Structural Diversity of Skullsen_US
dc.description.seriesinformationComputer Graphics Forumen_US

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  • 27-Issue 7
    Pacific Graphics 2008 - Special Issue

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