Title :
An automatic facial feature point localization method
Author :
Zhang, Qinyan ; Li, Xiaoping
Author_Institution :
Autom. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
This paper proposes an automatic facial feature point localization method that based on calculating the similarity. In a complicated illumination condition, beard interference and small angle facial tilt, this system which mentioned in this paper is still robust. It is not necessary to train the sample set which localize the facial feature points manually. The experimental results demonstrate that this system have a good performance and high accuracy.
Keywords :
face recognition; feature extraction; image colour analysis; beard interference; facial feature point localization method; illumination condition; small angle facial tilt; Eyebrows; Face; Feature extraction; Histograms; Image color analysis; Mouth; Nose; automatic localization; feature point; similarity;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-61284-203-5
DOI :
10.1109/CCIS.2011.6045119