Title :
Facial Feature Points Extraction
Author :
Zhu, Shaojun ; Zhao, Jieyu
Author_Institution :
Res. Inst. of Comput. Sci. & Technol., Ningbo Univ., Ningbo, China
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;
Conference_Titel :
Image and Graphics, 2009. ICIG '09. Fifth International Conference on
Conference_Location :
Xi´an, Shanxi
Print_ISBN :
978-1-4244-5237-8
DOI :
10.1109/ICIG.2009.9
