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A novel approach for 3D anatomical facial reconstruction from 2D CT images using Delaunay Triangulation is proposed in this paper. The method involves individual slice thresholding, contour finding, point cloud generation, Delaunay triangulation and redundant tetrahedron removal. The results are compared with standard marching cube algorithm and with standard commercial 3D software. The performance is studied based on time complexity and improvement in resolution.