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Forensic facial reconstruction using marching cubes

Author: 
Tabassum Khan, Apurva Sonavane, Sannan Momin and Prof. Mansing Rathod
Subject Area: 
Physical Sciences and Engineering
Abstract: 

The identity of a person is of critical importance in Forensic department and in some cases, the facial reconstruction becomes a critical stage when the face is unrecognizable. Forensic facial reconstruction is the reproduction of the unknown face based upon the soft tissues that overlays the bony structure. In this paper, we plan to propose a methodology that can be carried out to automate the facial reconstruction from skeletal remains. A dataset of CT head scans is used to produce a segmented model and an iso-surface is generated with the help of Marching Cubes algorithm. The algorithm is based on the concept of 3d voxels present in the DICOM images and extracts the iso-surface from the images through linear interpolation. The implementation is carried out in MATLAB which provides an easier interface to deal with images. Variousdatabase was tested with Marching Cubes algorithm as well as with in-built MATLAB function called isosurface and the study shows that Marching Cubes is a better and a faster approach to facial reconstruction.

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