Arikatla Venkata S, Ortiz Ricardo, Halic Tansel, Radigan Sean, Thompson David, De Suvranu, Enquobahrie Andinet
Medical Computing Team, Kitware Inc.
Department of Computer Science, University of Central Arkansas.
Stud Health Technol Inform. 2016;220:25-8.
In this paper we present an algorithm that allows for minimal end-user inputs by internally automating the creation and management of interactions amongst the objects in the scene in real-time medical simulation framework. A bi-directed graph (with nodes representing the scene objects and the connections representing the interactions) is formed based on the inputs from the user. This graph is then processed using a two stage algorithm that aims to find subgraphs that can be treated as independent sub-systems. Collision detection, collision response, assembly and solver objects are then automatically created and managed. This allows for users with limited knowledge of the underlying physics models, collision detection and contact algorithms to easily create a surgical scenario with minimal inputs.
在本文中,我们提出了一种算法,该算法通过在实时医学模拟框架中内部自动创建和管理场景中对象之间的交互,从而实现最少的最终用户输入。基于用户输入形成一个双向图(节点表示场景对象,连接表示交互)。然后使用两阶段算法对该图进行处理,该算法旨在找到可被视为独立子系统的子图。然后自动创建和管理碰撞检测、碰撞响应、装配和求解器对象。这使得对基础物理模型、碰撞检测和接触算法了解有限的用户能够以最少的输入轻松创建手术场景。