3D face recognition using multiple features for local depth information

Khalid, Fatimah and N. A., Lili (2009) 3D face recognition using multiple features for local depth information. IJCSNS International Journal of Computer Science and Network Security, 9 (1). pp. 27-32.

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Abstract

In this paper, we recognized multiple features from the local depth information of distance and angle calculation. These features are calculated from the twelve salient points by considering the distance and angle calculation. Then, fifty three non-independent features are extracted and the discriminating power is used for analyzing these features. The result shows an improvement compared to the previous work

Item Type:Article
Keyword:3D face recognition, feature localization, feature extraction
Subject:Human face recognition (Computer science)
Subject:Face perception - Computer simulation
Faculty or Institute:Faculty of Computer Science and Information Technology
ID Code:12637
Deposited By: Umikalthom Abdullah
Deposited On:02 Nov 2011 03:21
Last Modified:16 Nov 2011 11:31

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