A color-based approach to automatic face detection

Son Lam Phung, A. Bouzerdoum, D. Chai, W. Kuczborski

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

6 Citations (Scopus)

Abstract

We present a new approach to detecting quasi-frontal faces in color images. Our approach combines a color-based skin detection technique, a face candidate selection scheme using a geometric face model and color-based eye detection, and a face/nonface classification method based on the naive Bayes model. The proposed approach eliminates the computation-intensive step of window-scanning commonly adopted in holistic face detection approaches. With the proposed approach, we also address two important problems in face detection, namely coping with in-plane rotation and detecting faces of different sizes.

Original languageEnglish
Title of host publicationProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages531-534
Number of pages4
ISBN (Electronic)0780382927, 9780780382923
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 - Darmstadt, Germany
Duration: 14 Dec 200317 Dec 2003

Publication series

NameProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003

Conference

Conference3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
Country/TerritoryGermany
CityDarmstadt
Period14/12/0317/12/03

Keywords

  • Bayesian methods
  • Digital images
  • Face detection
  • Histograms
  • Humans
  • Image color analysis
  • Image segmentation
  • Pixel
  • Skin
  • Solid modeling

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