关键词: 图像变形, 网格变形, 自动特征对应, 多尺度分析, 能量最小化

Abstract: Traditional image morphing techniques involve user interaction, which is usually boring and inaccurate. Therefore, research on automatic feature-correspondence is of great significance. Based on classic morphing algorithms and their automations, this paper presents an automatic morphing algorithm, which exploits Multi-Resolution Analysis. It turns the feature-correspondence problem to an energy-minimization process, and experimentation demonstrates that, optimum warping function can be found in a short time, and satisfactory in-between images come out.

Key words: image morphing, mesh warping, automatic feature correspondence, Multi-Resolution Analysis, energy-minimization