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3D建筑重建中纹理自动提取与映射方法研究 被引量:2

The Research on Texture Extraction and Mapping Implementation in 3D Building Reconstruction
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摘要 提出了一种从3D建筑物图像中纹理提取与映射方法,图像中的3D建筑物基于平面进行重建,通过校正输入图像,融合透视图提取纹理图片,提出了一种新的消除透视扭曲方法,对纹理图像进行校正,通过补偿光源颜色估计纹理色彩。该方法避免了3D测量的中间过程。基于表面微粒提出了一种纹理映射策略,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。通过实验证明了该方法能够获取足够的质量,同时用不同的强度图像展示了校正方法的效率。 A method for texture extraction and mapping form 3d building image is proposed. by the images, the 3d-building reconstruction is based on the plane. Texture images are then extracted by merging perspective corrected input images. A new technique for removing perspective distortion and for the estimation of the texture image color to compensate for the light source color is studied. The method avoids any intermediate 3D measurement. A texture mapping strategy based on surface particles is developed to adequately address photography related problems such as inhomogeneous lighting, highlights and occlusion. Reconstruction results are included to demonstrate the attained quality. Experiments show the effectiveness of the correction method using range intensity images.
出处 《科技通报》 北大核心 2014年第1期72-75,81,共5页 Bulletin of Science and Technology
基金 绵阳师范学院项目"熵的对称数学特性对图像检索的影响研究(项目编号:2012A18)
关键词 纹理采样 纹理映射 颜色补偿 图像校正 texture sampling texture mapping color correction image rectification
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  • 1C Baillard and A Zisserman. Automatic reconstruction ofpiecewise planar models fl'om nmhiple views,[C]//Proceed- ings of the Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, USA, IEEE Computer SocMy Press (1999), 559-565.
  • 2P E l)ebevec, C J Taylor, J Malik. Modeling and rendering architecture from photographs: a hybrid geometry-and im- age-based approach, [C]// siggraph '96, New Orleans, Au- gust 1996.
  • 3A Rl)iek, P H S Ton', S F Ruffle, R Cipolla.Combining sin- gle view recognition and ,nuhiple view stereo for architec- tural scenes, [C]// Proceedings of the 8th International Conference on Computer Vision, Vancouver, Canada, 2001.
  • 4A W Fitzgibbon, G Cross. A Zisserman.Automatic 3D mod- el constructiun for turn-lable sequences, [C]// Proceed- ings of the SMILE Workshop on 3D Structure from Muhi- Die Images of Large-Scale Environments. 1998.
  • 5P Gargallo, P Sturm. Bayesian 3D modeling from images using multiple depth maps, [Cl// Proceedings of the Inter- national Contirence on Computer Vision and Pattern Rec- ognition, 2005.
  • 6C Hernandez Esteban, F Schmitt. Muhi-stereo 3D object reconstruction, [CI// International Symposium on 3D Data Processing Visualization and Transmission, Padova, Italy, 2002, 159-166.
  • 7C Hernandez Esteban, F Schmitt.Silhouette and stereo fu- sion hr 3D object modeling, Fourth International Confer- ence on 3D Digital Imaging and Modeling, Banff, Alberta, Canada, 2003, 46-53.
  • 8Fitzgibbon, G Cross, A Zisserman. Automatic 3D model construction for turn-table sequences, [M]European Work- shop SMILE'98, LNCS 1506, 1998 155-170.
  • 9Hu G P Wang HY. Research on Similarity between Gener- alized Molecular Graphs, [J] IEIT Journal of Adaptive & Dynamic Computing, 2012(1), Jan 2012, 22-27. DOI= 10.5813/www.ieit-web.org/lJADC/2012.1.5.
  • 10Chen L, Zhao S, G Zhang L J , Zhang W B. Real-time Large-deformation Cloth Simulation,[J] IEIT Journal of Adaptive & Dy,lamic Computing, 2012(1), Jan 2012, 28- 34. DOI= 10.5813/www.ieit-web.org/IJADC/2012.1.6.

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