Contour-Based Warping

Abstract

In this paper, a new warping technique called contour-based warping is presented. Feature contours of objects are defined and mapped to their target shapes. This allows the user greater flexibility in defining the warping with minimal effort. Two image warping methods are introduced in this paper and both are based on the concept of mapping contours. Thepeel-and-resamplemethod can warp simple image objects with a single inner-feature in a short time, but suffers from the problems of misalignment and inability of handling multiple features. Thewave propagationmethod solves these two problems. Unlike most existing methods, this method warps image objects based on specified 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.