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Topological Active Volumes

机译:拓扑活动卷

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摘要

In the last years, deformable models raised much interest and found various applications in the field of 2D and 3D computer vision. Active surfaces are usually employed for segmentation and object reconstruction. In this paper, a new model for 3D image segmentation is proposed, the Topological Active Volumes (TAV). This model is based on deformable models, it is able to integrate the most representative characteristics of the region-based and boundary-based segmentation models and it also provides information about the topological properties of the inside of detected objects. This model has the ability to perform topological local changes in its structure during the adjustment phase in order to: obtain a specific adjustment to object's local singularities, find several objects in the scene and identify and delimit holes in detected structures.
机译:近年来,可变形模型引起了人们的极大兴趣,并发现了2D和3D计算机视觉领域的各种应用。主动曲面通常用于分割和对象重建。在本文中,提出了一种用于3D图像分割的新模型,即拓扑活动体积(TAV)。该模型基于可变形模型,能够集成基于区域和基于边界的分割模型的最具代表性的特征,并且还提供有关所检测对象内部拓扑特性的信息。该模型具有在调整阶段对其结构进行拓扑局部更改的能力,以便:对对象的局部奇异点进行特定的调整,在场景中找到多个对象,并识别和界定检测到的结构中的孔。

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