| 城市三维重建中的自动纹理优化方法 |
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| 引用本文： | 李明,张卫龙,范丁元.城市三维重建中的自动纹理优化方法[J].测绘学报,2017,46(3):338-345. |
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| 作者姓名： | 李明 张卫龙 范丁元 |
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| 作者单位： | 1. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079;2. 武汉大学地球空间信息技术协同创新中心, 湖北 武汉 430079;3. 西南交通大学, 四川 成都 610031 |
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| 基金项目： | 国家重点研发计划，国家自然科学基金(41127901) The National Key Research and Development Program of China，The National Natural Science Foundation of China |
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| 摘 要： | 围绕低空多镜头倾斜摄影在三维城市影像模型生产中的纹理优化问题,提出了一种无缝纹理模型重建方法。文中首先采用相机响应函数和暗通道方法对影像进行预处理;然后,根据地物三角网格表面模型与影像的映射关系,利用稀疏构网方法进行遮挡检测,并建立了三角面片的可视纹理列表;最后,结合三角网格表面模型中基本面片的三维拓扑关系,利用影像的均值与方差信息,构建了基于马尔科夫随机场框架下的图割纹理优化算法,解决了纹理优化选择的离散多标号问题,保证了相邻三角面片映射纹理的一致性,实现了城市大场景无缝纹理模型的重建。试验结果验证了算法的可靠性和优越性。
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| 关 键 词： | 倾斜影像 三角网格表面模型 遮挡检测 图割 纹理优化 |
| 收稿时间： | 2016-09-20 |
| 修稿时间： | 2017-02-10 |
Automatic Texture Optimization for 3D Urban Reconstruction |
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| LI Ming,ZHANG Weilong,FAN Dingyuan.Automatic Texture Optimization for 3D Urban Reconstruction[J].Acta Geodaetica et Cartographica Sinica,2017,46(3):338-345. |
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| Authors: | LI Ming ZHANG Weilong FAN Dingyuan |
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| Institution: | 1. State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;2. Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China;3. Southwest Jiaotong University, Chengdu 610031, China |
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| Abstract: | In order to solve the problem of texture optimization in 3D city reconstruction by using multi-lens oblique images, the paper presents a method of seamless texture model reconstruction.At first, it corrects the radiation information of images by camera response functions and image dark channel.Then, according to the corresponding relevance between terrain triangular mesh surface model to image, implements occlusion detection by sparse triangulation method, and establishes the triangles' texture list of visible.Finally, combines with triangles' topology relationship in 3D triangular mesh surface model and means and variances of image, constructs a graph-cuts-based texture optimization algorithm under the framework of MRF(Markov random filed), to solve the discrete label problem of texture optimization selection and clustering, ensures the consistency of the adjacent triangles in texture mapping, achieves the seamless texture reconstruction of city.The experimental results verify the validity and superiority of our proposed method. |
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| Keywords: | oblique image triangular mesh surface model occlusion detection graph-cuts texture optimization |
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