A Novel Multi-View-Angle Range Images Generation Method for Measurement of Complicated Polyhedron in 3D Space
A Novel Multi-View-Angle Range Images Generation Method for Measurement of Complicated Polyhedron in 3D Space
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一种用于 3D 空间中复杂多面体测量的多视角范围图像生成新方法
DOI：
10.1155/2017/9501268
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发表时间：
2017-05
影响因子：
--
通讯作者：
Chen Xiaoyu
中科院分区：
文献类型：
--
作者：
Kong Deming;Lin Hongbin;Chen Xiaoyu
本文提出了一种新的生成方法，用于从一系列视角获取三维空间中复杂多面体的距离图像。在提出的生成方法中，将机械制图中三视图的概念引入到距离图像的生成过程中。选取-、-、-轴的正、负方向作为视角，生成三维空间中复杂多面体的距离图像。在此基础上，提出了一种新的数学形态学迭代运算，以保证多面体在所有选定的视角下都能生成满意的距离图像。与现有的基于单一视角和插值运算的方法相比，本文提出的多视角范围图像生成方法能够更符合复杂多面体表面所包含的结构特征。通过实验验证了所提出的生成方法。
A new kind of generation method is proposed in this paper to acquire range images for complicated polyhedron in 3D space from a series of view angles. In the proposed generation method, concept of three-view drawing in mechanical cartography is introduced into the range image generation procedure. Negative and positive directions of -, -, and -axes are selected as the view angles to generate the range images for complicated polyhedron in 3D space. Furthermore, a novel iterative operation of mathematical morphology is proposed to ensure that satisfactory range images can be generated for the polyhedron from all the selected view angles. Compared with the existing method based on single view angle and interpolation operation, structure features contained in surface of the complicated polyhedron can be represented more consistently with the reality by using the proposed multi-view-angle range images generation method. The proposed generation method is validated by using an experiment.
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影响因子：
5.6
作者：
Yu-cun Zhang;Jun-xia Han;Xian-bin Fu;Fu-li Zhang
通讯作者：
Yu-cun Zhang;Jun-xia Han;Xian-bin Fu;Fu-li Zhang
影响因子：
--
作者：
M. Nakagawa
通讯作者：
M. Nakagawa
影响因子：
10.6
作者：
Qian Xu;Srenivas Varadarajan;C. Chakrabarti;Lina Karam
通讯作者：
Qian Xu;Srenivas Varadarajan;C. Chakrabarti;Lina Karam
DOI：
10.1109/83.869190
发表时间：
2000-10
期刊：
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
影响因子：
--
作者：
V. Chatzis;I. Pitas
通讯作者：
V. Chatzis;I. Pitas
DOI：
10.1109/tim.2013.2266036
发表时间：
2013-07
影响因子：
5.6
作者：
Jianjun Wang;Lijun Xu;Xiaolu Li;Z. Quan
通讯作者：
Jianjun Wang;Lijun Xu;Xiaolu Li;Z. Quan