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Handling Topological Changes in the Topological ActiveVolumes Model

机译:处理拓扑活动量模型中的拓扑变化

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The Topological Active Volumes (TAV) model is a 3D deformable model based on the active nets and used for segmentation and reconstruction tasks. The model implements automatic procedures, the so called topological changes, that alter the mesh structure in order to segment complex surfaces, such as pronounced curvatures or holes, and detect several objects in the scene. This work analyses previous strategies for performing topological changes in the model and proposes a new methodology that overcomes the limitations of former strategies and improves the adjustment.
机译:拓扑活动体积(TAV)模型是基于活动网络的3D变形模型,用于分段和重建任务。该模型执行自动过程,即所谓的拓扑更改,该过程会更改网格结构,以分割复杂的表面(例如明显的曲率或孔),并检测场景中的多个对象。这项工作分析了模型中执行拓扑更改的先前策略,并提出了一种新方法,该方法可以克服先前策略的局限性并改善调整。

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