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Thermal Face Recognition using Local Interest Points and Descriptors for HRI Applications

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2012-12-18
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Hermosilla, Gabriel
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Thermal Face Recognition using Local Interest Points and Descriptors for HRI Applications
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Author
  • Hermosilla, Gabriel;
  • Loncomilla, Patricio;
  • Ruiz del Solar, Javier;
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.
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This research was partially funded by FONDECYT under Project Number 1090250.
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URI: https://repositorio.uchile.cl/handle/2250/125694
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