CSC5280 Project 1:  Image Morphing

Wei Zhang
Dept. of Information Engineering,
The Chinese University of Hong Kong

This report is best viewed in Internet Exploror.

Image Morphing / Photo Morphing, derived from "image metamorphosis" [1], refers to the technique of producing a sequence to show how image A can be naturally transformed to image B. This technique has a lot of applications, such as film industry, which leads to the explosive growth of the research [3].

Many image morphing algorithms can be understood as combination of generalized image warping with a cross-dissolve between two images. An example is shown in Fig. 1, where Image C(t) is the morphed version at the time t of Image A and B. The cross-dissolve technique used in this project is a simple linear combination: C(t) = (1 - t) A(t) + t B(t), .

A                                                           B                                             

(1-t)              Warped A(t)             +       t                  Warped B(t)               =                           C(t)               

Fig. 1 An example of image morphing

In this project, I implement two algorithms: Beier-Neely algorithm [1] and S.Y. Lee's deformable surface algorithm [2]. As I use the same cross-dissolve method described as the above, this report will only focus on the warp part of the two algorithms. The morphing results and animations are given in Section 3. In addition, the improvement and the user guide of the user interface will be given in the appendix.

1.1 The Algorithm
1.2 Discussion
2.1 The Algorithm
2.2 Implementation
Appendix  User Interface