Facial Reconstruction Using Volumetric Data
نویسنده
چکیده
In this paper we demonstrate computer aided techniques in the area of the reconstruction of facial features from skeletal remains. We outline the desired features of a system for skull identification, and demonstrate our progress in the area which builds upon our previous work on distance fields for volumetric data. In addition to the application we demonstrate an accurate 3D closing operator in practise on large data sets, cross correlation for automatic feature detection, and the current output from the technique which uses a 2D warp of the 3D distance field.
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تاریخ انتشار 2001