Hybrid neural method for locating eyes in facial images

Dapeng Zhang, H. Peng, K. Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Locating facial features automatically in a scene is an essential but relatively unsolved problem. We develop a novel hybrid neural method for human eye location by the following stages: (1) facial images are preprocessed for normalization; (2) the candidate regions of eyes are detected using an improved version of radial basis function (RBF) networks, which is capable of dealing with those facial images containing some changes of eye size or face orientation; and (3) a hierarchical knowledge-based approach is presented to evaluate these candidates and locate the positions of both eyes. The proposed method is tested on various face images. The experimental results illustrate the effectiveness of our method.
Original languageEnglish
Pages (from-to)2151-2158
Number of pages8
JournalOptical Engineering
Volume40
Issue number10
DOIs
Publication statusPublished - 1 Oct 2001

Keywords

  • Eyes location
  • Face recognition
  • Hybrid neural method
  • Knowledge-based approach
  • Radial basis function networks

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

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