Contour-Based Warping

In this paper, a new warping technique called contour-based warping is presented. Feature contours of objects are de ned and mapped to their target shapes. This allows the user greater exibility in de ning the warping with minimal e ort. Two image warping methods are introduced in this paper and both are based on the concept of mapping contours. The peel-and-resample method can warp simple image objects with a single inner-feature in a short time, but su ers from the problems of misalignment and inability of handling multiple features. The wave propagationmethod solves these two problems. Unlike most existing methods, this method warps image objects based on speci ed feature contours instead of points or vectors. Results of this method demonstrate that increasing the number of contour features distributed on the warping image reduces the computational time. However, it is slower compared with the peel-and-resample method when warping simple image objects with a single inner-feature.