Feature Axis Driven 2D Shape Interpolation

Abstract

This paper presents a novel 2D shape interpolation approach for a pair of planar polygonal shapes. Observing the natural transition of local orientations of shape features is important for pleasing interpolation, a simple structure called the feature axis is introduced to represent such local orientations. In addition, the global positions and orientations and the local details of the shape features are extracted. During shape interpolation, the global positions and orientations and local orientations as well as the local details of the source and target shape features are interpolated using the rigidity-preserving approach, intrinsic approach, and linear method, respectively. The intermediate shapes are reconstructed from the interpolated results of the shape features. Experimental results show that the method can effectively avoid shape distortion and preserve local shape features, as well as generate smooth, natural and visually pleasing effects.