Abstract
In this paper we present a 3D facial reconstruction algorithm for facial shape classification. We propose a reconstruction method that preserves facial ratios independent on the captured poses allowing thus a precise facial shape classification/determination. We use an Active Appearance Model on a set of facial image captures with different poses on which we auto-calibrate the camera parameters (intrinsic and extrinsic). We then fit/morph the statistical model to a set of facial landmarks in order to obtain an accurate 3D face reconstruction. We show the obtained results and compare them with other approaches in the literature.
Citare
A. Marinescu, T. Ileni, A. Dărăbant, A Versatile 3D Face Reconstruction from Multiple Images for Face Shape Classification, SoftCOM 2019, 27th International Conference on Software, Telecommunications and Computer Networks