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.
Experimental Comparison among 3D Innovative Face Recognition Frameworks / Bevilacqua, Vitoantonio; Mastronardi, Giuseppe; Piarulli, R.; Santarcangelo, V.; Scaramuzzi, R.; Zaccaglino, P. (LECTURE NOTES IN COMPUTER SCIENCE). - In: Emerging intelligent computing technology and applications : with aspects of artificial intelligence : 5th International Conference on Intelligent Computing, ICIC 2009Berlin : Springer, 2009. - ISBN 9783642040191. - pp. 1096-1105 [10.1007/978-3-642-04020-7_117]
Experimental Comparison among 3D Innovative Face Recognition Frameworks
BEVILACQUA, Vitoantonio;MASTRONARDI, Giuseppe;
2009-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
