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[1]王传安,葛华,王亚军.基于非完全拓扑分析的三维建筑重建识别算法[J].武汉工程大学学报,2011,(10):100-102.
　WANG Chuan an,GE Hua,WANG Ya jun.ImageBased 3D Building Reconstruction based onNoncomplete topological analysis[J].Journal of Wuhan Institute of Technology,2011,(10):100-102.
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基于非完全拓扑分析的三维建筑重建识别算法(/HTML)
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2011年10期
页码:
100-102
栏目:
资源与土木工程
出版日期:
2011-11-30

文章信息/Info

Title:
ImageBased 3D Building Reconstruction based on
Noncomplete topological analysis
文章编号:
16742869(2011)10010003
作者:
王传安; 葛华; 王亚军
安徽科技学院,安徽 凤阳 233100
Author(s):
WANG Chuanan; GE Hua; WANG Yajun
College of Science and Technology Anhui University;Fengyang 233100,China
关键词:
拓扑分析; 三维重建; 噪声阈值; 识别算法
Keywords:
topology analysis; 3D reconstruction; Noise threshold; recognition algorithm
分类号:
TQ177.5
DOI:
-
文献标志码:
AAdoi:10.3969/j.issn.16742869.2011.10.023
摘要:
为实现基于单幅图像的三维建筑物重建识别过程，本文提出了一种有效的重建方法——非完全拓扑分析.首先,对三维建筑物可见部分的轮廓进行拓扑分析并提取,得到完整的拓扑结构.其次,将分割后的拓扑结构与数据库中原始信息进行快速识别匹配.实验表明,本方法与SSDA图像匹配算法相比，大大提高了计算速度和匹配效率.
Abstract:
 ImageBased 3D Building Reconstruction is a very difficult problem in computer vision and computer graphics.An efficient method of 3D building reconstruction method is proposed by using noncomplete topological analysis,which rapidly achieves the process of recognizing architectures based one or two images.Firstly,the outline of visible parts of 3D reconstruction is extracted from image and is analyzed to get the incomplete topology of architectures.Then,the resulted topology will be divided into some primitive geometry,and these geometries are used to match models in databases finally.Experiments show that this method VS SSDA has better effectiveness.

参考文献/References:

［1］夏春林,王佳奇.3DGIS中建筑物三维建模技术综述［J］.测绘科学,2011,36(1):7072.
［2］Ting Z,Feng D D,Zheng T.3D Reconstruction of Single Picture［C］∥ACM Conf on Visual Information Processing,2004:8386.
［3］吴军.3维城市建模中的建筑墙面纹理快速重建研究［J］.测绘学报,2005,34(4):2124.
［4］张会霞,陈宜金,刘国波.基于三维激光扫描仪的校园建筑物建模研究［J］.测绘工程,2010,19(1):3235.
［5］Van den Heuvel,F A.Reconstruction from a single architectural image from the Meydenbauer archives.In:Proceedings of the XVIII［C］∥International Symposium of CIPA 2001.Potsdam,2001:699.
［6］吴培景,陈光梦.一种改进的SSDA图像匹配算法［J］.计算机工程与应用,2005,33(11):7578.
［7］曹珩,杨述斌，罗帆，等.多尺度全方位复合广义形态边缘检测的算法［J］.武汉工程大学学报,2010,32(9):3236.

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