DocumentCode
1953553
Title
Facial Feature Points Extraction
Author
Zhu, Shaojun ; Zhao, Jieyu
Author_Institution
Res. Inst. of Comput. Sci. & Technol., Ningbo Univ., Ningbo, China
fYear
2009
fDate
20-23 Sept. 2009
Firstpage
195
Lastpage
199
Abstract
Precise facial feature points extraction is essential to the high-level face recognition and expression analysis. This paper presents a method which uses Active Appearance Models with Inverse Compositional Lucas-Kanade Image Alignment algorithm for facial feature points extraction. Experimental results show that the presented method is capable of extraction of precise facial feature points from face. The feature points extraction is robust against the expression changes and scale variation.
Keywords
face recognition; feature extraction; stability; active appearance models; expression analysis; expression changes; facial feature points extraction; high level face recognition; inverse compositional Lucas Kanade image alignment; robustness; scale variation; Active appearance model; Application software; Computer graphics; Computer science; Data mining; Face recognition; Facial animation; Facial features; Shape; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Graphics, 2009. ICIG '09. Fifth International Conference on
Conference_Location
Xi´an, Shanxi
Print_ISBN
978-1-4244-5237-8
Type
conf
DOI
10.1109/ICIG.2009.9
Filename
5437814
Link To Document