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基于ASIFT图像匹配算法的三维重建
引用本文:何永洁,刘德宽,陈孝威. 基于ASIFT图像匹配算法的三维重建[J]. 贵州大学学报(自然科学版), 2012, 29(5): 72-75,89
作者姓名:何永洁  刘德宽  陈孝威
作者单位:贵州大学 计算机科学与信息学院,贵州 贵阳,550025
基金项目:基金项目:贵州省优秀教育科技人才省长专项资金项目(200714)
摘    要:提出了基于ASIFT图像匹配算法的三维重建算法。目前,基于图像序列的三维重建中,一般采用SIFT图像匹配算法。对于存在仿射变换的图像序列,ASIFT算法较SIFT算法能够获得更多精确的稀疏匹配点;基于ASIFT算法恢复的三维点云比基于SIFT算法恢复的三维点云更加稠密,从而能获得更好的三维重建结果。仿真实验表明,本文算法能获得较好的三维模型。

关 键 词:SIFT  ASIFT  图像匹配  三维重建

Research on Technology Based on ASIFT Image of 3-D Reconstruction Matching Algorithm
HE Yong-jie , LIU De-kuan , CHEN Xiao-wei. Research on Technology Based on ASIFT Image of 3-D Reconstruction Matching Algorithm[J]. Journal of Guizhou University(Natural Science), 2012, 29(5): 72-75,89
Authors:HE Yong-jie    LIU De-kuan    CHEN Xiao-wei
Affiliation:(College of Computer Science and Information, Guizhou University, Guiyang 550025, China)
Abstract:The algorithm of 3-D reconstruction based on ASIFT image matching algorithm was put forward in this paper. At present, SIFT image matching algorithm is used generally in 3-D reconstruction method based on image sequence. For image sequence existing affine transform, ASIFT image matching algorithm can achieve more quantity and more accurate matches than SIFT image matching algorithm. The recovered 3-D point cloud based on ASIFT image matching algorithm is denser than that based on SIFT image matching algorithm, thus we can get a better 3-D reconstruction results. The simulation experiments show that a better 3-D model can be obtained by our method.
Keywords:SIFT  ASIFT  image matching  3-D reconstruction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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