CSpace
A coarse to fine facial key landmark points locating algorithm based on active shape model
Fan, Bo1; Yang, Xiaokang1; Zhou, Xi2; Lin, Weiyao1; Chen, Changjian1
2012
摘要In this paper, we proposed an improved coarse to fine improved algorithm to enhance the accuracy of facial key landmark points locating. Based on the analysis of PCA, the proposed algorithm redesigns the parameter update rule through adding a monotonically decreasing inert factor function to the traditional ASM iterations (D-ASM). The new rule could update parameters at a finer process. Besides, we compare the performances of different types of inert factor functions and select the suitable one. Furthermore, we further design a classifier-based algorithm for the more accurate locating of 2D key corner points. Finally, local D-ASM is constructed and the inner landmarks are further fitting with corner points fixed. Experimental results on various faces demonstrate the effectiveness and rationality of our proposed algorithm. © 2012 IEEE.
语种英语
DOI10.1109/WI-IAT.2012.164
会议(录)名称2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012
页码39-43
通讯作者Zhou, X. (zhouxi@cigit.ac.cn)
收录类别EI
会议地点Macau, China
会议日期December 4, 2012 - December 7, 2012