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A method of 3D CAD model retrieval based on spatial bag of words

机译：一种基于空间词袋的3D CAD模型检索方法

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摘要

In order to improve both the discriminative power for models' local parts and the searching efficiency in 3D CAD model retrieval, a novel hierarchical feature descriptor for retrieval based on spatial bag of words is proposed in this paper. By extracting the essential information from Boundary Representation (B-Rep), 3D CAD models are transformed to Labelled Attribute Adjacency Graphs (LAAGs). Next, the models in training dataset are segmented into different regions according to their corresponding LAAG with an improved segmentation method. All collections of these local regions are described as local feature vectors with graph spectrum, and the codebook is created by clustering all these vectors. Each library model is then decomposed with the same methods mentioned above and globally represented as a spatial histogram of word pairs along with the adjacent relations of its regions, called Spatial Bags-of-Words (SBoWs), and then, the hierarchical feature descriptor(HFD) of each library model composed of global SBoWs and local graph spectrum is constructed. Finally, according to HFD, a two-level searching framework is presented for CAD model retrieval: the candidates are acquired by comparing the query with each target model based on their SBoWs vectors, and the remaining candidates are verified using optimal matching algorithm according to their local features. Experimental results show that the proposed methods promote both retrieval quality and efficiency significantly, so they can support the effective reuse of CAD models for enterprises.
机译：为了提高模型局部判别力和3D CAD模型检索的搜索效率，提出了一种新的基于空间词袋的分层特征描述符。通过从边界表示（B-Rep）提取基本信息，将3D CAD模型转换为标记属性邻接图（LAAG）。接下来，使用改进的分割方法，将训练数据集中的模型根据其对应的LAAG分割为不同的区域。这些局部区域的所有集合都被描述为具有图谱的局部特征向量，并且通过对所有这些向量进行聚类来创建码本。然后，每个库模型都采用上述相同的方法进行分解，并全局表示为单词对的空间直方图及其区域的相邻关系，称为空间词袋（SBoW），然后是分层特征描述符（构造由全局SBoW和局部图谱组成的每个库模型的HFD）。最后，根据HFD，提出了一种用于CAD模型检索的两级搜索框架：通过将查询与每个目标模型的SBoWs向量进行比较来获取候选者，然后根据候选对象的最优匹配算法对剩余的候选者进行验证。本地特色。实验结果表明，所提出的方法可以显着提高检索质量和效率，从而可以支持企业CAD模型的有效重用。

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