A brief survey on image morphing

Abstract

Image morphing has been recognized as an interesting and powerful tool for visual effects, allowing one object smoothly transforming to another object. It is widely applied in image editing and film production applications, so there are many researches on this topic. This thesis surveys the various proposed techniques in the morphing field which try to improve the morphing quality and describes some outstanding and advanced morphing techniques. The fundamental technique shared by every algorithm is first analysed, then followed by feature-based, optimization-based and learning-based method. Each of them has their own strength and focuses on different point. An experiment is conducted to evaluate the advantages and disadvantages of those methods. The result and example from the literature reveal that there still needs further study on transformation of 2 dissimilar objects and images having large occlusions.