Constructing a fuzzy grammar for syntactic face detection Kouzani, Abbas He, Fangpo Sammut, Karl 2011-12-06T22:28:42Z 2011-12-06T22:28:42Z 1996
dc.description.abstract This paper presents a structural face detection system. The proposed system consists of three stages; pre-processing, 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. en
dc.identifier.citation Kouzani, A., He, F. and Sammut, K. 1996. Constructing a fuzzy grammar for syntactic face detection. 1996 IEEE International Conference on Systems, Man, and Cybernetics, vol. 2, 1156 - 1161. en
dc.identifier.isbn 780332806-
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing) en
dc.rights.license In Copyright
dc.subject Face recognition en
dc.subject Fuzzy sets en
dc.subject Humans en
dc.subject Image recognition en
dc.title Constructing a fuzzy grammar for syntactic face detection en
dc.type Article en
local.contributor.authorOrcidLookup He, Fangpo: en_US
local.contributor.authorOrcidLookup Sammut, Karl: en_US
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