Facial Feature Point Extraction by Partial Least Square Regression
نویسندگان
چکیده
Extracting facial feature points such as eyes, mouth and nose plays an important role in many applications. Most of the proposed methods are base on the geometrical features of images. In this paper, a novel method based on Partial Least Square Regression (PLSR) model is introduced to extract the relationship between the feature point coordinates and gray value distribution in the image. The proposed approach is simple and direct, and all feature points could be treated equally. The experiment results show that this method can obtain feature point positions in high accuracy.
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