摘要
提出了一种基于特征点匹配的柱面全景图像拼接算法。首先将360°环绕拍摄的序列图像投影到柱面坐标系下;然后提取各图像的SIFT(Scale Invariant Feature Transform,尺度不变特征变换)特征点,通过特征点匹配完成两幅图像的配准;再根据配准结果计算出图像间的变换参数;最后采用加权平均的融合方法对两幅图像进行无缝拼接。实验表明,算法可以有效、快速地自动生成柱面全景图像。
In this paper,an efficient cylindrical panoramic image mosaic algorithm based on SIFT （Scale Invariant Feature Transform） is proposed.Firstly,the 360 degrees of circle panned image sequences are projected to cylindrical separately.Then SIFT feature points are extracted,and images are registered by matching SIFT feature points.And then the transform parameters can be calculated by registration resuhs.FinaIIy,the weighted average method is used to achieve image mosaic.Experiments indicate that the proposed algorithm can show the cylindrical panoramic image automatically and effectively.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第9期171-173,共3页
Computer Engineering and Applications
基金
国家自然科学基金(No.60572152)
陕西省自然科学基金(No.2005F26)~~
关键词
柱面全景图
尺度不变特征变换
图像配准
图像拼接
cylindrical panoramic image
Scale Invariant Feature Transform（SIFT） feature
image registration
image mosaics
