Deakin University
Browse

File(s) under permanent embargo

Constructing a fuzzy grammar for syntactic face detection

conference contribution
posted on 1996-12-01, 00:00 authored by Abbas KouzaniAbbas Kouzani, F He, K Sammut
This paper presents a structural face detection system. The proposed system consists of three stages; preprocessing, face-components extraction, and final decision-making. In the first stage, image conversion, colour operation, image restoration, and image enhancement are carried out. Face components are extracted in the second stage. A face model is defined, and a fuzzy grammar composed of octal chain codes is used to represent each of the seven face components. The practical limitations of this representation are considered. Structural components are detected, and the possibility degree that the extracted component is a real face component is determined. In the last stage, a commonsense knowledge base is employed for final evaluation. The detected face components and their corresponding possibility degrees allow the human face knowledge base to locate faces in the image and generate a membership degree for that face within the face class. The experimental results obtained using this method are presented.

History

Volume

2

Pagination

1156 - 1160

Publisher

IEEE

Location

Beijing, China

Place of publication

Piscataway, N.J.

Start date

1996-10-14

End date

1996-10-17

ISSN

0884-3627

Publication classification

EN.1 Other conference paper

Title of proceedings

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Usage metrics

    Research Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC