对基于内容的三维模型检索的应用背景和现有算法进行了研究。
The retrieval methods and application of the content-based 3D model were investigated.
分析总结了现有的基于内容的三维模型检索系统及搜索引擎的典型实例。
The currently available content-based 3d model retrieval systems and search engines are also introduced.
改进一种基于局部区分区域特征的三维模型检索方法，提高了检索效率。
Improve a 3d model retrieval method based on the local distinctive region feature which can improve the retrieval effectiveness.
在这篇论文里我们首先考虑了在有限时间资源情况下的三维模型检索问题。
Firstly, we consider the 3d model retrieval problem under a limited time resource.
针对三维模型检索性能较低的问题，提出一种基于子块的三维模型检索算法。
To improve the efficiency of 3d model retrieval, an efficient retrieval of 3d models based on block was proposed.
本文对几种基于内容的三维模型检索算法做了研究和讨论，并提出了几种新算法。
In this paper we research and discuss some sorts of content-based methods, and propose several new methods.
实验结果表明聚类分析技术可以应用于三维模型检索领域并应该有广阔的应用前景。
The experiment's result shows clustering analysis technique can be applied in the filed of 3D model retrieval and should have wide applied foreground.
三维模型几何相似性比较算法是基于内容的三维模型检索系统的一个主要研究方向。
The method for geometrical shape similarity matching among 3D models is one of main research problems of 3D model retrieval system.
基于对称性的描述符可以很好地反映三维模型的形状信息，适用于三维模型检索领域。
The descriptor based on symmetry can commendably reflect shape information and be used in 3d model retrieval.
三维模型坐标归一化是三维模型检索中的一个重要预处理步骤，其重点是旋转归一化。
The pose adjustment of 3D models is an important preprocess for 3D model retrieval, while its focus is on rotation normalization.
普林斯顿形状基准数据库已经成为当前三维模型检索研究人员使用最为广泛的基准数据库之一。
The Princeton Shape benchmark has become one of the most prevailing benchmarks in 3d Model Retrieval community.
在对已有三维模型检索技术的进行系统研究的基础上，本文提出了两种基于内容的三维模型检索技术。
The two new 3D model search methods are put forward in this thesis. These two methods all belong to shape-based retrieval techniques.
目前，对基于内容的三维模型检索的研究主要集中在检索过程所涉及到的算法方面，而对三维模型库的设计研究较少。
Most of the current available content-based 3D model retrieval techniques mainly focus on feature extraction and similarity measurement, and seldom involve the proper design of 3D model databases.
特别是在如今大规模的三维模型数据库中，高效和鲁棒的三维形状匹配算法是基于内容的三维模型检索中最为关心的问题。
Especially, the need for the ability to retrieve models based on geometry contents from large databases has gained a prominent and key concern of efficient and robust matching algorithms.
提取关于坐标旋转不变的特征描述符以及提高特征描述符对噪声的鲁棒性是基于内容三维模型检索技术中有待进一步研究解决的问题之一。
How to extract the rotation invariant feature and improve the stability of the noise is still an unsolved problem of the area of content-based 3d models retrieval.
实验结果表明该算法提高了三维模型的检索准确性。
The experiment results indicate the retrieval accuracy of the three-dimensional model is improved.
如何高效率地访问如此纷繁复杂的三维数据，促进人们展开了广阔的基于内容的三维模型索引和检索的研究工作。
Efficiently accessing such rich and complex 3d data motivated numerous and extensive research work within the area of content-based indexing and retrieval.
面对大量的三维模型，如何从中找到我们需要的模型就成为一个必须解决的问题，于是三维模型的检索技术应运而生。
We must resolve the problem of how to find a model that we need from so many models, and then the technology of 3d model retrieval was born.
针对海量的三维模型，本文通过对三维模型特征提取和相关反馈关键技术研究，实现准确、高效的检索。
Thus, this paper arrive accuracy and efficiently retrieve for the mass of 3d models, through researching the technology of feature extraction and relevance feedback.
针对海量的三维模型，本文通过对三维模型特征提取和相关反馈关键技术研究，实现准确、高效的检索。
Thus, this paper arrive accuracy and efficiently retrieve for the mass of 3d models, through researching the technology of feature extraction and relevance feedback.
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