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
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.
