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基于透视逆变换由图像点反求空间坐标

Inverse of 3D from Image Point Based On Projection Inverse Transformation
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摘要 三维重构理论与技术是计算机视觉最重要的热点问题之一,基于单幅图像的三维重构由于缺乏足够的几何信息而难以达到预期效果。本文针对大部分物体所具有的对称性特征,提出利用假想对称平面,基于透视逆变换原理,由人工交互指定已知三对对称点的图像坐标和空间坐标确定透视变换矩阵,继而反求物体表面特征点的空间位置,再利用UG软件实现三维模型的重建。 The theories and techniques of 3D Reconstruction are one of the most important problems in the computer vision, Singleimage-based 3D Reconstruction because of lacking enough several informations but hard attain to expect the result. This paper aims at the symmetry characteristic of most objects, putting forward make use of to imagine the symmetry flat surface according to Projection Inverse Transformation principle, handing over from the artificial to specify with each other to have already known that three picture that rightnesses are a little bit symmetries sit the mark and spaces to sit to mark the Projection Inverse Transformation matrix, Inverse the 3D position that the object surface characteristic order, then make use of the software of UG to carry out 3D models.
机构地区 淮阴工学院
出处 《微计算机信息》 2009年第12期311-312,310,共3页 Control & Automation
关键词 对称物体 视点位置 透视逆变换 反求3D坐标 Symmetrical object View position Projection Inverse Transformation Inverse of 3D
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  • 1李存军,刘良云,王纪华,王人潮.两种高保真遥感影像融合方法比较[J].中国图象图形学报(A辑),2004,9(11):1376-1385. 被引量:97
  • 2刘志刚,刘代志.基于小波变换的图象放大方法再探讨[J].中国图象图形学报(A辑),2003,8(4):403-408. 被引量:19
  • 3穆静,王长元.基于小波变换的多分辨率图像融合技术的研究[J].微计算机信息,2005,21(12X):175-176. 被引量:8
  • 4[1]Li X,Orchard M T.New edge-directed interpolation[J].IEEE Transactions on Image Processing,2001,10(10):1521-1527.
  • 5[2]Honda H,Haseyama M.Fraetal interpolation for natural images[A].1999 International conference on image processing[C],Kobe,Japan,1999,657-661.
  • 6[3]Plziac N.Image interpolation using neural networks[J].IEEE Transactions on Image Processing,1999,8(11):1647-1651.
  • 7[4]Zheng Sheng,Tian Jinwen,Liu Jian,et al.Novel algorithm for image interpolation[J].Optical Engineering,2004,43(4):856-865.
  • 8[5]Kinebuehi K,Muresan D D,and Parks T W.Image interpolation using wavelet-based hidden Markov trees[A].2001 International conference on image processing[C],2001,vol.3,7-11.
  • 9[6]Carey W K,Chuang D B,Hemami S S.Regularity-preserving image interpolation[J].IEEE Transactions on Image Processing,1999,8(9):1293-1297.
  • 10[7]Temizel A,Vlachos T.Wavelet domain image resolution en-ehancement[J].IEE Proc.-Via.Image Signal Process,2006,153(1):25-30.

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