Efficient approach for facial feature detection

Kin Man Lam, Yan Lin Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Facial feature extraction is an important step in automated visual interpretation and human face recognition. Among the facial features, the eyes play the most important part in the recognition process. In this paper, an efficient approach for detecting and locating the eyes in a head-and-shoulders image is devised. Possible eye candidates in an image are identified by means of the valley features and corners of the eyes. Two possible eye candidates are considered to belong to the eyes of a human face if their respective local properties are similar; an eye window is then formed. Each of the eye region candidates is then further verified by comparing them with a standard eye template, and by measuring its symmetry. Experiments show that this approach is fast and reliable.
Original languageEnglish
Title of host publicationInternational Conference on Signal Processing Proceedings, ICSP
PublisherIEEE
Pages1100-1103
Number of pages4
Publication statusPublished - 1 Dec 1998
EventProceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 - Beijing, China
Duration: 12 Oct 199816 Oct 1998

Conference

ConferenceProceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98
CountryChina
CityBeijing
Period12/10/9816/10/98

ASJC Scopus subject areas

  • Signal Processing

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