TY - GEN
T1 - Constructing a fuzzy grammar for syntactic face detection
AU - Kouzani, A. Z.
AU - He, F.
AU - Sammut, K.
PY - 1996
Y1 - 1996
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0030396911&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.1996.571249
DO - 10.1109/ICSMC.1996.571249
M3 - Conference contribution
AN - SCOPUS:0030396911
SN - 0-7803-3280-6
T3 - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
SP - 1156
EP - 1161
BT - 1996 IEEE International Conference on Systems, Man and Cybernetics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1996 IEEE International Conference on Systems, Man and Cybernetics
Y2 - 14 October 1996 through 17 October 1996
ER -