Face detection from color images by iterative thresholding on skin probability maps

Research output: Contribution to journalConference article

3 Scopus citations

Abstract

In this paper, we present a technique for face detection from color images, which utilizes facial geometry and iterative thresholding of skin probability maps to determine candidate face regions in an image. The actual face regions are determined by a fast and efficient eye locator technique that employs symmetry analysis along with luminance, chrominance and curvature information. Iterative thresholding makes the technique tolerant to variations in illumination and background. The facial geometry analysis and eye locator techniques are tolerant to scale variations of faces. Experimental results demonstrate the superiority of the proposed technique to a standard PCA-based technique, in the presence of scale and illumination variations.

Original languageEnglish (US)
Pages (from-to)V/673-V/676
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume5
StatePublished - Jan 1 2002
Event2002 IEEE International Symposium on Circuits and Systems - Phoenix, AZ, United States
Duration: May 26 2002May 29 2002

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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