Fast eye detection and localization using a salient map

Muwei Jian, Kin Man Lam

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

3 Citations (Scopus)

Abstract

Among the facial features, the eyes play the most important role in face recognition and face hallucination. In this paper, an efficient algorithm for eye detection in face images is proposed. The proposed algorithm is robust to illumination variations, size, and orientation of face images. As the eye region always has the most variations in a face image, our algorithm uses a wavelet-based salient map, which can detect and reflect the most visually meaningful regions for eye detection and localization. Our proposed algorithm is non-iterative and computationally simple. Experimental results show that our algorithm can achieve a superior performance compared to other current methods.
Original languageEnglish
Title of host publicationThe Era of Interactive Media
PublisherSpringer New York
Pages89-99
Number of pages11
Volume9781461435013
ISBN (Electronic)9781461435013
ISBN (Print)1461435005, 9781461435006
DOIs
Publication statusPublished - 1 Oct 2013

Keywords

  • Eye detection
  • Face recognition
  • Facial landmarks
  • Salient map

ASJC Scopus subject areas

  • Computer Science(all)

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