Short Paper Code:




Non Conventional 3D Human Face Verification System



Zimmermann, A.C;;

Encinas, L.S.;

Gonçalves Jr., A. A.;

Barreto, J.M.;



Federal University of Santa Catarina

Brazil (88040970), Florianopolis, SC





Different from traditional methods which use two-dimensional images and gray levels to recognize human faces, this article shows a known shape extraction methodology applied to the extraction of 3D human faces conjugated with a conventional and non conventional algorithms for face verification. The SORFACE project involves two main knowledge areas, 3D shape extraction and pattern recognition. The first is based on Fourier Profilometry and the second on Case Base Reasoning - CBR and Artificial Neural Networks - ANN, which perform a symbolic and connectionist recognition system. Although these methodologies themselves are not new, the goal of this work is conjugate all in a face verification application problem and shows the results. Are commented too the benefits achieved by this 3D extraction technique over the illumination and geometric positioning problems. This is only viable today thanks to the increase of processing capacity of the new computers. This article describes all the techniques used to build a non conventional optical system for 3D human face verification, the SORFACE project proposal.