Pixel level fusion of multispectral face images: Short review

F. Omri, S. Foufou, M. Abidi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the recent rapid development in the field of multispectral face imaging, the use of image fusion has emerged as a new and important research area. Many studies have attempted to improve the performance of face recognition by fusing the infrared (IR) and visible face images, yet few comparison studies have been conducted to examine which fusion method is preferable over another. In this paper, we provide an overview of the most widely used pixel level fusion algorithms, and establish a comparison to evaluate each fusion method Our experiments were validated by comparing cumulative match characteristics (CMC) of multispectral image fusion by weighted sum, principal component analysis, empirical mode decomposition, and wavelet transform.

Original languageEnglish (US)
Title of host publication2013 7th IEEE GCC Conference and Exhibition, GCC 2013
Pages595-600
Number of pages6
DOIs
StatePublished - 2013
Event2013 7th IEEE GCC Conference and Exhibition, GCC 2013 - Doha, Qatar
Duration: Nov 17 2013Nov 20 2013

Publication series

Name2013 7th IEEE GCC Conference and Exhibition, GCC 2013

Other

Other2013 7th IEEE GCC Conference and Exhibition, GCC 2013
CountryQatar
CityDoha
Period11/17/1311/20/13

Keywords

  • face recognition
  • multispectral imaging
  • pixel level fusion

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Omri, F., Foufou, S., & Abidi, M. (2013). Pixel level fusion of multispectral face images: Short review. In 2013 7th IEEE GCC Conference and Exhibition, GCC 2013 (pp. 595-600). [6705846] (2013 7th IEEE GCC Conference and Exhibition, GCC 2013). https://doi.org/10.1109/IEEEGCC.2013.6705846