Image Metamorphosis based on Elastic Body Spline and Snake Model

Image metamorphosis ( For short, image morphing ) is an active field of research and recent efforts aim at improving both user interface and warping results. Generally, the morphing technique involves three problems. The first is to establish correspondence between given two images, which is most difficult part of morphing process. The correspondence is usually established by hand. The second problem is to define or construct a mapping function which deforms the first image towards the second one based on these feature points, and vice versa. The third problem is to blend pixel values of the two deformed images to create in-between images, this will end the morphing process. This study aims to raise strategy to solve these problems. First, we propose a semi-automatic algorithm based on snake model to specify the feature correspondence between two given images. It allows a user to extract contour that define facial feature such as lips, mouth, profile, etc., by specifying only endpoints..