Face detection in color images

R. L. Hsu, Mohamed Abdel-Mottaleb, A. K. Jain

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

53 Scopus citations

Abstract

Human face detection is often the first step in applications such as video surveillance, human computer interface, face recognition, and image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds. Our method detects skin regions over the entire image, and then generates face candidates based on the spatial arrangement of these skin patches. The algorithm constructs eye, mouth, and boundary maps for verifying each face candidate. Experimental results demonstrate successful detection over a wide variety of facial variations in color, position, scale, rotation, pose, and expression from several photo collections.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Pages1046-1049
Number of pages4
Volume1
StatePublished - Jan 1 2001
Externally publishedYes
EventIEEE International Conference on Image Processing (ICIP) 2001 - Thessaloniki, Greece
Duration: Oct 7 2001Oct 10 2001

Other

OtherIEEE International Conference on Image Processing (ICIP) 2001
CountryGreece
CityThessaloniki
Period10/7/0110/10/01

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Hsu, R. L., Abdel-Mottaleb, M., & Jain, A. K. (2001). Face detection in color images. In IEEE International Conference on Image Processing (Vol. 1, pp. 1046-1049)