Thermal face recognition using local interest points and descriptors for HRI applications

  • Authors:

  • Gabriel Hermosilla;Patricio Loncomilla;Javier Ruiz-del-Solar

  • Affiliations:

  • Department of Electrical Engineering, Universidad de Chile, Center for Mining Technology, Universidad de Chile;Department of Electrical Engineering, Universidad de Chile, Center for Mining Technology, Universidad de Chile;Department of Electrical Engineering, Universidad de Chile, Center for Mining Technology, Universidad de Chile

  • Venue:
  • RoboCup 2010
  • Year:
  • 2011

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Abstract

In this article a robust thermal face recognition methodology based on the use of local interest points and descriptors, is proposed. The methodology consists of the following stages: face segmentation, vascular network detection, wide baseline matching using local interest points and descriptors, and classification. The main contribution of this work is the use of a standard wide baseline matching methodology for the comparison of vascular networks from thermal face images. The proposed methodology is validated using a database of thermal images. This work could be of high interest for HRI applications related with the visual recognition of humans, as the ones included in the RoboCup @Home league, because the use of thermal images may overcome limitations such as dependency on illumination conditions and facial expressions.