Analysis of facial characteristics in spectropolarimetric imagery

Zhao Yongqiang, Zhang Lei, Yang Tieheng, Wei Peifen, Yang Hongfang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Spectropolarimetric imaging can provide useful discriminating information for human face recognition that cannot be obtained by other imaging methods. This paper examines the ability of face recognition by using spectropolarimetric images. The Spectropolarimetric images were collected by using a CCD camera equipped with a liquid crystal tunable filter, which could capture 32 bands of images over the visible and near-infrared light (0.4μm-0.72μpm). Since polarization techniques have better contrast mechanisms for tissue imaging and spectroscopy, and can also provide additional information about the structure of tissues, it is expected that better discriminate performance can be obtained by using Polarimetric and spectral information than just using spectral information. An algorithm for facial characteristics analysis is presented to exploit only the spectropolarimetric information from different types of facial tissues. Experiments demonstrate that the proposed algorithm can distinguish efficiently the different facial tissues.
Original languageEnglish
Title of host publicationMIPPR 2007
Subtitle of host publicationPattern Recognition and Computer Vision
Publication statusPublished - 1 Dec 2007
EventMIPPR 2007: Pattern Recognition and Computer Vision - Wuhan, China
Duration: 15 Nov 200717 Nov 2007


ConferenceMIPPR 2007: Pattern Recognition and Computer Vision


  • Face recognition
  • Spectropolarimetric correction
  • Spectropolarimetric imaging

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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