Voxel-encoded descriptor for 3D model retrieval by exploring model’s spatial information
Voxel-encoded descriptor for 3D model retrieval by exploring model’s spatial information
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DOI：
10.1007/s12206-014-0603-7
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发表时间：
2014-07
影响因子：
1.6
通讯作者：
Jinyuan Jia;Qian Zhang;Long Zeng;Shuang Liang
中科院分区：
文献类型：
--
作者：
Jinyuan Jia;Qian Zhang;Long Zeng;Shuang Liang
检索与给定产品相似的产品已经引起了相当大的关注。然而，产品通常是由多个组件组装而成的，这使得以前基于视觉的检索描述符受挫。我们设计了一个体素编码描述符（VED）通过探索模型的空间信息，即，边界数据和内部数据。该描述符分三步计算。首先，采用改进的基于体素的主成分分析技术对多边形模型的姿态进行归一化。然后，通过沿体素的六个局部轴沿着投影体素来生成六幅彩色图像。每个像素的颜色值编码与从该像素开始并平行于轴的射线相交的所有体素的状态。沿着沿着射线的所有体素的状态体现了模型沿着该射线的空间分布。最后，通过对六个彩色图像应用2D傅立叶变换来计算VED。通过VED，我们可以区分空心球和实心球。为了提高检索效率，采用改进的几何流形熵（iGEOMEN）方案对数据库结构进行优化。VED和iGEOMEN被集成到一个模型检索系统中。实验结果表明，VED描述符的性能优于之前基于视觉的形状描述符，尤其是对于复杂的装配模型。
Retrieving similar products with a given one has attracted considerable attention. However, products are usually assembled by multiple components, frustrating the previous visual-based retrieval descriptors. We design a voxel-encoded descriptor (VED) by exploring models’ spatial information, i.e., boundary data and internal data. This descriptor is computed in three steps. First, the posture of a polygonal model is normalized by improved voxel-based principal component analysis technique. Then, six color images are generated by projecting the voxels along its six local axes. The color value of each pixel encodes status of all voxels intersecting with the ray starting from the pixel and parallel to the axis. The status of all voxels along a ray embodies the spatial distribution of the model along this ray. Finally, the VED is computed by applying 2D Fourier transformation to the six color images. With VED, we can distinguish a hollow sphere from a solid sphere. To improve the retrieval efficiency, the database structure is optimized by an improved geometric manifold entropy (iGEOMEN) scheme. VED and iGEOMEN are integrated into a model retrieval system. Experimental results demonstrate that the VED descriptor outperforms the previous visual-based shape descriptors, especially for complex assembly models.