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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Automatic upright orientation and good view recognition for 3D man-made models
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Automatic upright orientation and good view recognition for 3D man-made models

机译:3D人造模型的自动垂直方向和良好的视野识别

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摘要

Many graphics applications require that 3D models automatically be presented upright and from a good view. We propose a method that simultaneously recognizes upright orientation and good view for 3D man-made models. The strategy is to determine the best base on which a 3D model can stand upright from a small set of candidate bases. Every candidate base is composed of clustered facets of the simplified convex hull of the given 3D model. Next, a proposed UV-measurement selects the best base from the candidate bases using weighted feature-based evaluation functions based on geometrical, physical, and visual aspects. Our method has been tested using a public 3D model database and compared with previous methods. As experimental results show, our method outperforms previous work in both efficiency and accuracy.
机译:许多图形应用程序要求3D模型自动以正确的视图垂直显示。我们提出了一种方法,该方法可以同时识别3D人造模型的直立方向和良好视野。该策略是从一小部分候选基础中确定3D模型可以直立的最佳基础。每个候选基点均由给定3D模型的简化凸包的聚簇面组成。接下来,建议的紫外线测量使用基于几何,物理和视觉方面的基于特征的加权评估函数,从候选基准中选择最佳基准。我们的方法已使用公共3D模型数据库进行了测试,并与以前的方法进行了比较。实验结果表明,我们的方法在效率和准确性上均优于先前的工作。

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