Stereo facial image clustering using double spectral analysis

Georgios Orfanidis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

In this work we proposed a new variant of spectral clustering using double spectral analysis which proved to be able to achieve better clustering results. The present work focuses on the special case of 3D videos and the implication of their use. Extended experiments have been conducted in three 3D full feature commercial films which revealed the power of stereo face clustering in comparison with single channel face clustering.
Original languageEnglish
Title of host publication2014 International Conference on Electrical and Computer Engineering (ICECE 2014)
Subtitle of host publicationProceedings of a meeting held 20-22 December 2014, Dhaka, Bangladesh
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages262-265
Number of pages4
ISBN (Electronic)9781479941674
ISBN (Print)9781479941650
DOIs
Publication statusPublished - Mar 2015
EventInternational Conference on Electrical and Computer Engineering (ICECE) - Dhaka, Bangladesh
Duration: 20 Dec 201422 Dec 2014

Conference

ConferenceInternational Conference on Electrical and Computer Engineering (ICECE)
CountryBangladesh
CityDhaka
Period20/12/1422/12/14

Keywords

  • stereo facial image clustering
  • Spectral clustering
  • Ncut
  • HSV color space
  • facial image clustering

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