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Proceedings Paper

Radial curve-based classification and localization of features for 3D facial expressions
Author(s): Manar D. Samad; Khan M. Iftekharuddin
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Paper Abstract

We present a novel method to analyze facial expressions from 3D shape using radial curves and curve based geometric features. Curve based representation of 3D facial shape and corresponding geometric features overcome the curse of dimensionality providing a means for fast and automatic classification and comparison of 3D facial shapes. Our proposed curve based geometric features effectively capture local variations and classify facial expressions from 3D facial shapes. A multiclass feature selection technique is used to identify the most effective features that localize the effective regions of the face. Six basic facial expressions are classified using a publicly available 3D facial expression dataset.

Paper Details

Date Published: 5 June 2014
PDF: 7 pages
Proc. SPIE 9117, Three-Dimensional Imaging, Visualization, and Display 2014, 91171E (5 June 2014); doi: 10.1117/12.2053428
Show Author Affiliations
Manar D. Samad, Old Dominion Univ. (United States)
Khan M. Iftekharuddin, Old Dominion Univ. (United States)


Published in SPIE Proceedings Vol. 9117:
Three-Dimensional Imaging, Visualization, and Display 2014
Bahram Javidi; Jung-Young Son; Osamu Matoba; Manuel Martínez-Corral; Adrian Stern, Editor(s)

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