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序列图像三维重建中的关键算法
引用本文:方欣,郭观七,沈中阳.序列图像三维重建中的关键算法[J].湖南理工学院学报,2010,23(1):35-38.
作者姓名:方欣  郭观七  沈中阳
作者单位:[1]湖南理工学院信息与通讯工程学院,湖南岳阳414000 [2]资兴市青少年活动中心,湖南郴州423400
摘    要:主要讨论了基于序列图像的三维重建中的两个关键算法:特征数据点列的重采样算法与三角化算法.本文改进了Chetverikov等提出的轮廓曲线中高曲率点的检测算法,使在重采样时,数据的压缩比得到了明显的改善,也显著地提高了可视化速度.并使用一种简单的三角化算法,对重采样后的数据点列进行三角化,实现目标的三维重建.

关 键 词:图像序列  三维重建  高曲率  重采样  三角化

The Algorithm about 3D Reconstruction of Image Sequences
FANG Xin,GUO Guan-qi,SHEN Zhong-yang.The Algorithm about 3D Reconstruction of Image Sequences[J].Journal of Hunan Institute of Science and Technology,2010,23(1):35-38.
Authors:FANG Xin  GUO Guan-qi  SHEN Zhong-yang
Institution:FANG Xin1,GUO Guan-qi1,SHEN Zhong-yang2(1.College of Information & Communication Engineering,Hunan Institute of Science , Technology,Yueyang 414006,China,2.Zixing Activity Centre for Teenagers,Chenzhou 423400,China)
Abstract:Two important algorithm in 3D reconstruction of image sequences are studied,i.e.re-sampling algorithm and triangulation algorithm.An improved algorithm for detection of high curvature points in planar curves is presented.This algorithm can improve the performance of re-sampling and 3D data field visualization.Triangulation is implemented by using a simple triangulation algorithm.Sequentially,3D object reconstruction was achieved.
Keywords:image sequence  3D reconstruction  High Curvature  re-sampling  triangulation  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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