Facial Feature Points Extraction
Shaojun Zhu, Jieyu Zhao · 2009
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.