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基于运动形状特征的布料动画检索

Cloth Animation Retrieval Using a Motion-Shape Signature.

作者信息

Huber Markus, Eberhardt Bernhard, Weiskopf Daniel

出版信息

IEEE Comput Graph Appl. 2017 Nov-Dec;37(6):52-64. doi: 10.1109/MCG.2017.4031068.

Abstract

In cloth simulation, the behavior of textiles largely depends on initial conditions, parameters, and simulation techniques. Usually, several combinations of those aspects are altered until a simulation setting is found to create a satisfying animation. However, if an initial condition, such as a collision object, is changed afterward or the cloth behavior is transferred to a different scene, the existing set of simulation parameters could no longer be suitable for the desired look. In this case, it is difficult to find a new configuration by changing parameters manually and to determine if it conforms the desired properties. This article introduces a feature vector that is used as a motion-shape signature to capture the spatiotemporal shape characteristics of cloth and can be applied as a similarity measure for physics-based cloth animations.

摘要

在布料模拟中,纺织品的行为很大程度上取决于初始条件、参数和模拟技术。通常,会对这些方面的几种组合进行更改,直到找到一种模拟设置来创建令人满意的动画。然而,如果之后更改了初始条件,例如碰撞对象,或者将布料行为转移到不同的场景中,现有的模拟参数集可能不再适用于所需的外观。在这种情况下,很难通过手动更改参数来找到新的配置并确定其是否符合所需属性。本文介绍了一种特征向量,用作运动形状签名来捕捉布料的时空形状特征,并可作为基于物理的布料动画的相似性度量。

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