Title :
A symmetry-based approach to facial features extraction
Author :
De Natale, Francesco G B ; Giusto, Daniele D. ; Maccioni, Fabrizio
Author_Institution :
Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
Abstract :
Face recognition technology (FRT) is gaining increasing interest in a large number of application fields. The article deals with a new approach to this problem, that exploits symmetry characteristics of the human visage to extract a set of significant features for the detection task. The developed methods give a very good percentage of success in the identification of facial elements, with the advantage of fast computation, that makes the proposed approach suitable for real-time applications, like personal identification and communications
Keywords :
face recognition; feature extraction; communications; face recognition technology; facial elements identification; facial features extraction; fast computation; personal identification; real-time applications; symmetry characteristics; symmetry-based approach; Application software; Computational complexity; Eyes; Face detection; Face recognition; Facial features; Humans; Image color analysis; Mouth; Surveillance;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.628390