Online smart face morphing engine with prior constraints and local geometry preservation

Abstract

We present an online system for automatic smart face morphing, which can be accessed at http://facewarping.com. This system morphs the user-uploaded image to “beautify” it by embedding features from a user-selected celebrity. This system consists of three major modules: facial feature point detection, geometry embedding, and image warping. To embed the features of a celebrity face and at the same time preserve the features of the original face, we formulate an optimization problem which we call prior multidimensional scaling (prior MDS). We propose an iterated Levenberg-Marquardt algorithm (ILMA) to efficiently solve prior MDS in the general case. This online system allows the user to configure the morphing parameters, and has been tested under different conditions.