Efficient Metamorphosis of Point-Sampled Geometry

We present an automated implemented and computationally efficient method for smoothly morphing of point set surface. In the issue, corresponding between the surfaces is difficult for point set surface without any topological information. To overcome this, the method is guided by registration and warp functions, then the intermediate surfaces are constructed depend on only the local geometric information expressed by the point locations in 3D space. To reduce the distortion of the intermediate shapes, the distance metric between points is defined, and the algorithm optimally matches the points in the two models. The automated method provides the animator with a technique that can be used to create a set of models forming a smooth transition between pairs of a given sequence of keyframe models. The advantage of the new approach is that the capability of morphing between objects having a different topological without any intervene of animators.