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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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
|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|
|Deposited By:||Umikalthom Abdullah|
|Deposited On:||02 Nov 2011 03:21|
|Last Modified:||16 Nov 2011 11:31|
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