Craniofacial landmarks extraction by Partial Least Squares Regression

In this paper, a novel method based on Partial Least Square Regression (PLSR) is introduced to extract the relation between selected point coordinates on X-ray images and the expected location of a set of landmarks formally known as craniofacial landmarks. In the proposed method, four points are located using image detection techniques. The four points are used to extract more features representing rotation, scale and shift in the lateral skull X-ray. PLSR is used to obtain a predictive matrix for the landmarks on the tests set. Experimental results showed that this method could locate landmarks with an accuracy of 75%.