Title :
Research on the two-dimensional face image feature extraction method
Author :
Du, Qinsheng ; Zhao, Jian ; Shi, Lijuan ; Wang, Lirong
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
Human facial feature extration is the key of facial image analysis, which has been widely applied to face recognition, 3D facial reconstruction and face image compression. This paper focuses on automatic extraction of feature points from the two-dimensional digital face photo. Some improvements and simplifications are made on the basis of the previous research. The automatic extraction process is adjusted and gray is before data processing. The face regional calibration method is the edge detection and binaryzation after clustering and the result is under control of the integral projection combined with the physiological structure. Experimental results show the method can effectively extract 2D face image feature and be practical.
Keywords :
edge detection; face recognition; feature extraction; image coding; image reconstruction; 2D face image feature; 3D facial reconstruction; automatic extraction process; binarization; data processing; edge detection; face image compression; face recognition; face regional calibration; facial image analysis; feature points; human facial feature extration; integral projection; physiological structure; two-dimensional digital face photo; two-dimensional face image feature extraction; Face; Feature extraction; Humans; Image edge detection; Mouth; Nose; Solid modeling; clustering; edge detection; facial feature extraction; gary;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
DOI :
10.1109/ICSSEM.2012.6340720