A Novel Method for Computer Aided Plastic Surgery Prediction

Abstract

In this paper, a novel method based on former cases for plastic surgery prediction is presented. This method takes a pre-operative frontal facial picture as an input. Landmarks of the face are then extracted and constitute a distance vector. As a set of facial parameters, such a vector is entered into either a sup- port vector regression (SVR) predictor or a k-nearest neighbor (KNN) predictor which is trained on a set of pre- and post- operative facial distance vectors of former cases. After the pre- dicted distance vector generated, new landmarks positions are updated and the final result is generated in terms of changes be- tween predicted landmarks and the original ones. Several expe- riments are carried out and the results show a great accuracy of prediction, which proves that this method is of high validity. Keywords-ASM; SVR; KNN; plastic surgery prediction