期刊文献+

3D建筑重建的纹理提取与映射方法的实现 被引量:1

3D Building Reconstruction Texture Extraction and Mapping Implementation
下载PDF
导出
摘要 以往通过采集图片中建筑物平面上的纹理构建场景的方法,大部分都是半自动完成的。针对此问题,提出了一种解决方法,即:通过校正输入图像,融合透视图提取纹理图片,对纹理图像进行校正,消除透视扭曲,通过补偿光源颜色估计纹理色彩。仿真实验结果表明,该方法避免了3D测量的中间过程,较好地解决了拍摄过程中的相关问题如不均匀光源、高光以及遮挡灯。 以往通过采集图片中建筑物平面上的纹理构建场景的方法,大部分都是半自动完成的。针对此问题,提出了一种解决方法,即:通过校正输入图像,融合透视图提取纹理图片,对纹理图像进行校正,消除透视扭曲,通过补偿光源颜色估计纹理色彩。仿真实验结果表明,该方法避免了3D测量的中间过程,较好地解决了拍摄过程中的相关问题如不均匀光源、高光以及遮挡灯。
作者 王琦 葛文庚
出处 《四川大学学报(工程科学版)》 EI CAS CSCD 北大核心 2012年第S1期198-202,共5页 Journal of Sichuan University (Engineering Science Edition)
关键词 图像校正 建筑重建 纹理 映射方法 image correction building reconstruction texture mapping method
  • 相关文献

参考文献15

  • 1王继阳,文贡坚,吕金建,李德仁.建筑物三维重建方法综述[J].遥感技术与应用,2009,24(6):832-840. 被引量:18
  • 2Zhao C H,Chen S J,Liu X M,et al.Study on modelingmethods of flexible body in ADAMS. IEIT Journal of A-daptive&Dynamic Computing . 2012
  • 3Chen G Q,Jiang Z S,Wu Y Q.A new approach for numeri-cal manifold method. IEIT Journal of Adaptive&Dy-namic Computing . 2012
  • 4Hsu C H,Wu Y L,Tang C Y.Modified active appearancemodels features for facial expression recognition. The23th IPPR Conference on Computer Vision,Graphics,andImage Processing (CVGIP 2010) . 2010
  • 5Hartley R,Zisserman A.Multiple view geometry in comput-er vision. . 2009
  • 6Furukawa Y,Ponce J.Accurate camera calibration frommulti-view stereo and bundle adjustment. IEEE conf onComputer Vision and Pattern Recognition . 2008
  • 7Zhao Z L,Liu B,Li W.Image classification based on ex-treme learning machine. IEIT Journal of Adaptive&Dy-namic Computing . 2012
  • 8Zhou J J.The parallelization design of reservoir numericalsimulator. IEIT Journal of Adaptive&Dynamic Compu-ting . 2011
  • 9Zhao Z L,Liu B,Li W.Image clustering based on extremeK-means algorithm. IEIT Journal of Adaptive&DynamicComputing . 2012
  • 10Wu H,Xu J B,Zhang S F,et al.GPU accelerated dissipa-tive particle dynamics with parallel cell-list updating. IEIT Journal of Adaptive&Dynamic Computing . 2011

二级参考文献53

  • 1唐亮,谢维信,黄建军,谢兴灿,刘洁.从航空影像中自动提取高层建筑物[J].计算机学报,2005,28(7):1199-1204. 被引量:12
  • 2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):317-323. 被引量:36
  • 3Xu F,Jin Y Q. Automatic Reconstruction of Building Objects from Multiaspect Meter-Resolution SAR Images [J]. IEEE Transaction on Geoscience and Remote Sensing, 2007,45 (7) : 2336-2353.
  • 4Stilla U,Soergel U, Thoennessen U. Potential and Limits of InSAR Data for Building Reconstruction in Built-up Areas [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2003,58(1), 113-123.
  • 5Brenner A R,Roessing L. Radar Imaging of Urban Areas by Means of very High Resolution SAR and Interferometric SAR [C]. IEEE International Geoseience and Remote Sensing Symposium,Barcelona,2007,2689-2693.
  • 6Gruen A, Wang X. CC-Modeler:A Topology Generator for 3D City Models[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 1998,53(5):286-295.
  • 7Gulch E, Muller H. New Applications of Semi-automatic Building Acquisition[ C]. Zurich: Automatic Extraction of Man-made Objects from Aerial and Space Images( Ⅲ ), 2001 : 103-114.
  • 8Collins R T. The Aacender System:Automated Site Modeling from Multiple Aerial Images[J]. Computer Vision and Image Understanding, 1998,72(2) : 143-162.
  • 9Cord M,Jordan M, Cocquerez J P. Accurate Building Structure Recovery from High Resolution Aerial Imagery[J]. Computer Vision and Image Understanding, 2001,82 ( 2 ) : 138- 173.
  • 10Hu J,You S, Neumann U. Approaches to Large-scale Urban Modeting[J]. IEEE Computer Graphics and Applications, 2003,23 (6) : 62-69.

共引文献17

同被引文献21

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部