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Researches on mold-based feature extraction and retrieval technology of 3D models

机译:基于模具的三维模型特征提取和检索技术研究

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As the key problem of content-based three-dimensional model retrieval, feature extraction methods do not achieve ideal performance at present. Most of past feature extraction methods just utilize the attributes of the model itself. Therefore, it is a promising direction to utilize the categorization information in the process of feature extraction. According to the fact that models in the same category have many similarities and little differences, we represent the contents of models in one category by elastic mold. We also introduce the feature extraction and the selecting method of the optimal mold. Finally, we state an effective retrieval mechanism based on mold. The experimental result shows that our method performs better than the traditional ones.
机译:作为基于内容的三维模型检索的关键问题,特征提取方法目前没有实现理想的性能。过去的大多数特征提取方法只是利用了模型本身的属性。因此,它是利用特征提取过程中的分类信息的有希望的方向。根据同一类别中的模型具有许多相似之处和差异很小,我们通过弹性模具代表一个类别的模型的内容。我们还介绍了最佳模具的特征提取和选择方法。最后,我们说明了基于模具的有效检索机制。实验结果表明,我们的方法比传统的方法更好地表现得更好。

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