Narrow Results

In this paper, we present a novel method to solve the inter-frame interpolation problem in image morphing. We use our improved snake model that is associated with the gravitational force field to locate control points in the object contours. Afterwards, we apply the greedy algorithm in free-form deformations to achieve optimal warps among feature point pairs in starting and ending frames. The new method uses an energy-minimization function under the influence of inter-frames. The energy serves to impose frame-wise and curve-wise constraints among the interpolated frames.

An image deformation method is proposed based on triangulation on image features. Image deformation using triangulation has been criticized as suffering from foldover and locality problems. The proposed method improves on the two problems. The method generates an isotopy between images containing arbitrary disjoint feature movements and permits point, line, and polygon features. It also suppresses the bias caused by using a single triangulation. Our method uses multiple triangulations defined over the image. Two such algorithms using multiple triangulations are proposed.