A pose adaptive eye detection method using 3D face information

Hyunjun Kim, Jinsu Kim, Jaihie Kim

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

1 Citation (Scopus)

Abstract

This paper proposes an eye detection algorithm robust to head pose variation. First, face region is detected by Viola-Jones algorithm. Second, in order to detect eye robust to pose variation, a window template is generated from the 3D mean face model. Finally, eye is detected and localized by using this window template. In the experiments, the proposed method is tested on CAS-PEAL database.

Original languageEnglish
Title of host publication13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479939428
DOIs
Publication statusPublished - 2014 Sept 30
Event13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Kota Kinabalu, Malaysia
Duration: 2014 Jan 152014 Jan 18

Publication series

Name13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings

Other

Other13th International Conference on Electronics, Information, and Communication, ICEIC 2014
Country/TerritoryMalaysia
CityKota Kinabalu
Period14/1/1514/1/18

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A pose adaptive eye detection method using 3D face information'. Together they form a unique fingerprint.

Cite this