Cloth Animation Retrieval Using a Motion-Shape Signature

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作   者：

Markus Huber;  Bernhard Eberhardt;  Daniel Weiskopf; 

关键词：

Deformable models;  Shape analysis;  Computational modeling;  Animation;  Data models;  Spatiotemporal phenomena; 

期刊名称：

IEEE Computer Graphics and Applications

i s s n：

0272-1716

年卷期：

2017 年 37 卷 6 期

页   码：

52-64

页   码：

摘   要：

In this article, we introduce a feature vector that is used as a motion-shape signature to capture the spatiotemporal shape characteristics of cloth and can be used as a similarity measure for physics based cloth animations. In our approach, the feature vector not only contains the underlying geometry of the cloth as a mesh, but also measured quantities from the simulation that describe the deformation state and, therefore, its shape. The motion-shape signature can be used to retrieve a cloth simulation from a collection of simulations that matches a given input animation. This approach enables the goal-oriented creation of cloth animations and directability that, to the best of our knowledge, has yet to be explored.