Motion and feature-based video metamorphosis

We present a new technique for morphing two video sequences. Our approach extends still image metamorphosis techniques to video by performing motion tracking on the objects. Besides reducing the amount of user input required to morph two sequences by an order of magnitude, the additional motion information helps us to segment the image into foreground and background parts. By morphing these parts independently and overlaying the results, output quality is improved. We compare our approach to conventional motion image morphing techniques in terms of the quality of the output image and the human input required.