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Presentation
Face recognition using a time-of-flight camera
Faculty of Informatics - Papers (Archive)
  • Simon Meers, University of Wollongong
  • Koren Ward, University of Wollongong
RIS ID
29456
Publication Date
1-1-2009
Publication Details

This conference paper was originally published as Meers, S and Ward, K, Face recognition using a time-of-flight camera, Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization. CGIV '09, Tianjin, China, 11-14 August 2009. Copyright The Institute of Electrical and Electronics Engineers, Inc. Original conference information available here

Abstract

This paper presents a novel three-dimensional (3D) method for detecting, tracking and recognising human faces using a time-of-flight camera. The system works by detecting a single central feature point, typically the nose tip, and by intersecting the 3D point data with spheres centred at the central feature point. The resulting spherical intersection profiles are used to perform face recognition and to track the position and orientation of the face. The main benefit of this method is that it is fast and efficient in terms or memory and computational expense. Furthermore, as the system utilises a time-of-flight camera and topographical information, it is not affected by variations in illumination, face orientation or partial occlusion of facial features. Experimental results are provided which show the potential of this method to exceed the real-time performance of existing head-pose tracking and face recognition systems.

Grant Number
ARC/DP0881180
Citation Information
Simon Meers and Koren Ward. "Face recognition using a time-of-flight camera" (2009)
Available at: http://works.bepress.com/kward/11/