Title :
A method of face recognition using 3D images
Author :
Yuan, Xue ; Lu, Jianming ; Yahagi, Takashi
Author_Institution :
Graduate Sch. of Sci. & Technol., Chiba Univ., Japan
Abstract :
In this paper, we present a method of face recognition using 3D images. We first compensate the poses of 3D original facial images using geometrical measurement and extract 2D gray-level data and the 3D shape data from 3D facial images to recognise. In the second step, we propose a method for face recognition based on fuzzy clustering and parallel neural networks. Experimental results for 35 persons with different pose and viewpoints demonstrate the efficiency of our algorithm.
Keywords :
face recognition; feature extraction; fuzzy set theory; geometry; neural nets; pattern clustering; 2D gray level data; 3D original facial images; face recognition; fuzzy clustering; geometrical measurement; parallel neural networks; Clustering algorithms; Data mining; Face recognition; Feature extraction; Fuzzy neural networks; Head; Image recognition; Lighting; Neural networks; Shape measurement;
Conference_Titel :
Circuits and Systems, 2004. MWSCAS '04. The 2004 47th Midwest Symposium on
Print_ISBN :
0-7803-8346-X
DOI :
10.1109/MWSCAS.2004.1353937
