Experimental comparison among 3D innovative face recognition frameworks

Authors:
Vitoantonio Bevilacqua;Giuseppe Mastronardi;Raffaele Piarulli;Vito Santarcangelo;Rocco Scaramuzzi;Pasquale Zaccaglino
Affiliations:
Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy and E.B.I.S., s.r.l., Spin-Off of Polytechnic of Bari, Bari, Italy;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy and E.B.I.S., s.r.l., Spin-Off of Polytechnic of Bari, Bari, Italy;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy and E.B.I.S., s.r.l., Spin-Off of Polytechnic of Bari, Bari, Italy;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy
Venue:
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

Citing 2
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Abstract

In this paper, starting to the previous work on 3D face recognition, is presented an optimization of the search of the points ALS and ALD of the nose and a new graph approach for the recognition base on several new points. Experiments are performed on a dataset (44 3D faces) acquired by a 3D laser camera at eBIS lab with pose and expression variations. The face recognition performance on the 44 faces considered reach the 100% percentage.