Refinement of the 3D Mesh Model Driven by the Image Information

被引：0
|
作者：
Zhang C. [1 ]
Zhang M. [1 ]
Guo B. [2 ]
机构：
[1] College of Geomatics, Xi'an University of Science and Technology, Xi'an
[2] State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan
来源：
Guo, Bingxuan (mobilemap@163.com) | 2018年 / SinoMaps Press卷 / 47期
基金：
中国国家自然科学基金;
关键词：
3D mesh refinement; Gradient change value; Gradient descent method; Image information; Normalized cross correlation;
D O I：
10.11947/j.AGCS.2018.20170733
中图分类号：
学科分类号：
摘要：
A method of 3D mesh refinement driven by the image information is proposed to solve the existing problem of 3D re-construction constructed by the 3D mesh model.According to the image information,one image is reprojected to other visible images induced by the object triangular facet,adopt gradient descent method,take the derivative of object vertex coordinates with the images' NCC coefficient,and adjust the vertices coordinates of object 3D mesh in order to minimize regional matching cost,to obtain the optimal 3D mesh model,and to achieve the purposes of the 3D mesh model refinement.Results indicate that this method can greatly improve the accuracy of 3D mesh to reconstructing 3D model. © 2018, Surveying and Mapping Press. All right reserved.
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页码：959 / 967
页数：8
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