Conference Proceedings

International Conference on Advanced Computing, Communication and Networks - CCN 2011

Face Recognition System using Principal Component Analysis & Linear Discriminant Analysis Method Simultaneously with 3D Morphable Model

Author(s) : A. K. GULVE, S.K.WAGHMARE, VIKAS N.NIRGUDE

Abstract

This paper proposes a face recognition technique that effectively combines principle components analysis (PCA) and Fisherface algorithm (LDA). PCA use as dimension reduction and Fisherface algorithm as a class specific method is robust about variations such as lighting and different angle Condition. We use 3D morphable model to convert 2D image into 3D image & we can derive multiple image by different lighting and can be rotated to generate multiple images in different poses, the PCA method reduces dimensionality& LDA for the classification. In comparison with a conventional method the proposed approach could obtain satisfactory results in the perspectives of recognition rates and speeds.

Conference Title : International Conference on Advanced Computing, Communication and Networks - CCN 2011
Conference Date(s) : June 2-3, 2011
Place : Hotel Aroma, Chandigarh, India
No fo Author(s) : 3
DOI :
Page(s) : 645 - 649
Electronic ISBN :
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