中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A coarse to fine facial key landmark points locating algorithm based on active shape model

文献类型:会议论文

作者Fan, Bo1; Yang, Xiaokang1; Zhou, Xi2; Lin, Weiyao1; Chen, Changjian1
出版日期2012
会议日期December 4, 2012 - December 7, 2012
会议地点Macau, China
DOI10.1109/WI-IAT.2012.164
页码39-43
通讯作者Zhou, X. (zhouxi@cigit.ac.cn)
英文摘要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.
会议录2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012
语种英语
源URL[http://119.78.100.138/handle/2HOD01W0/4761]  
专题中国科学院重庆绿色智能技术研究院
作者单位1.Institute of Image Communication and Network Engineering, Shanghai Key Labs. of Digital Media Processing and Communication, Shanghai Jiao Tong University, Shanghai 200240, China;
2.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 401122, China
推荐引用方式
GB/T 7714
Fan, Bo,Yang, Xiaokang,Zhou, Xi,et al. A coarse to fine facial key landmark points locating algorithm based on active shape model[C]. 见:. Macau, China. December 4, 2012 - December 7, 2012.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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