3D face recognition using multiple features for local depth information

Citation

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.

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

Download File

Preview

PDF (Abstract)
3D face recognition using multiple features for local depth information.pdf
Download (82kB) | Preview

Additional Metadata

Item Type:	Article
Subject:	Human face recognition (Computer science)
Subject:	Face perception - Computer simulation
Divisions:	Faculty of Computer Science and Information Technology
Keywords:	3D face recognition, feature localization, feature extraction
Depositing User:	Umikalthom Abdullah
Date Deposited:	02 Nov 2011 03:21
Last Modified:	28 Sep 2015 01:02
URI:	http://psasir.upm.edu.my/id/eprint/12637
Statistic Details:	View Download Statistic

Actions (login required)

View Item