Face correction and recognition of multi-pose based on Gaussian process regression

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To solve the problem of the decline in success rate of face recognition with the change of facial attitude, We analyze the relationship of contour between frontal face and side face based on Gaussian process regression and propose a method to process side face with horizontal angle from -45° to +45°. We experiment in Multi-Pie and FERET database and the result shows the method in this paper significantly improves the success rate of side face recognition.

Original languageEnglish
Title of host publicationProceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1674-1678
Number of pages5
ISBN (Electronic)9781467396127
DOIs
StatePublished - 28 Feb 2017
Externally publishedYes
Event2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016 - Xi'an, China
Duration: 3 Oct 20165 Oct 2016

Publication series

NameProceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016

Conference

Conference2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016
Country/TerritoryChina
CityXi'an
Period3/10/165/10/16

Keywords

  • Face correction
  • Face recognition
  • Gaussian process regression
  • Multi-pose

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