Parametric Reshaping of Portrait Images for Weight-change

We present an easy-to-use parametric image retouching method for thinning or fattening a face in a single portrait image while maintaining a close similarity to the source image. First, our method reconstructs a 3D face from the input face image using a morphable model. Second, according to the linear regression equation derived from the depth statistics of the soft tissue in the face and the user-set parameters of weight-change degree, we calculate the new positions of the feature points. The Laplacian deformation method is then used for non-feature points in the 3D face model. Our model-based reshaping process can achieve globally consistent editing effects without noticeable artifacts. We seamlessly blend the reshaped face region with the background using image retargeting method based on mesh parametrization. The effectiveness of our algorithm is demonstrated by experiments and user study.