Automatic extraction of facial feature points for MPEG4 videophone applications

Author(s):  
N. Sarris ◽  
P. Karagiannis ◽  
M.G. Strintzis
2014 ◽  
Vol 13 (13) ◽  
pp. 2159-2164
Author(s):  
Xukang Wang ◽  
Guanghua Tan ◽  
Chunming Gao

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Hong-an Li ◽  
Yongxin Zhang ◽  
Zhanli Li ◽  
Huilin Li

It is an important task to locate facial feature points due to the widespread application of 3D human face models in medical fields. In this paper, we propose a 3D facial feature point localization method that combines the relative angle histograms with multiscale constraints. Firstly, the relative angle histogram of each vertex in a 3D point distribution model is calculated; then the cluster set of the facial feature points is determined using the cluster algorithm. Finally, the feature points are located precisely according to multiscale integral features. The experimental results show that the feature point localization accuracy of this algorithm is better than that of the localization method using the relative angle histograms.


2011 ◽  
Vol 24 (1) ◽  
pp. 195-200 ◽  
Author(s):  
Yue Zhou ◽  
Yin Li ◽  
Zheng Wu ◽  
Meilin Ge

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