计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (5): 56-59.

• 学术探讨 • 上一篇    下一篇

多尺度模型下的自动图像变形

赵丛 彭国华   

  1. 西北工业大学理学院应用数学系 西北工业大学应用数学系
  • 收稿日期:2006-03-14 修回日期:1900-01-01 出版日期:2007-02-11 发布日期:2007-02-11
  • 通讯作者: 赵丛

Automatic Morphing With Multiscale Analysis

Cong Zhao GuoHua Peng   

  • Received:2006-03-14 Revised:1900-01-01 Online:2007-02-11 Published:2007-02-11
  • Contact: Cong Zhao

摘要: 传统变形技术以交互式特征对应为基础,建立源图像到形变图像的映射函数。而交互特征对应是一个耗时费力又缺乏精确度的过程,因而自动特征对应是一项十分有意义的研究。本文在总结经典变形算法及已有的自动变形算法基础上,提出了在多尺度空间中搜索形变函数的变形算法,将自动变形问题转化为能量模型下的优化问题。算法在满足精度要求的同时,快速地逼近全局最优形变函数,达到自动特征指定的目的。实验表明,算法能够在较短的时间内得到令人满意的插值序列。

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