Novel face recognition method using trend vector for a multimedia album

Sung Ho Lee, Jong Woo Han, Oh Jung Kwon, Tae Hyun Kim, Sung Jea Ko

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

1 Citation (Scopus)

Abstract

Automatic recognition of faces in photos is a highly challenging task since face appearance varies with poses, expressions, and lighting conditions. In this paper, we introduce a novel face recognition method using the trend vector which consists of the distances between the probed feature vector with all reference feature vectors in the gallery. Experimental results show that the proposed method achieves higher recognition rate than the conventional methods under the aforementioned challenging conditions.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Pages490-491
Number of pages2
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States
Duration: 2012 Jan 132012 Jan 16

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2012 IEEE International Conference on Consumer Electronics, ICCE 2012
CountryUnited States
CityLas Vegas, NV
Period12/1/1312/1/16

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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