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一种图像自动拼接方法的研究
引用本文:耿俊,刘善磊.一种图像自动拼接方法的研究[J].测绘与空间地理信息,2015(6):69-71.
作者姓名:耿俊  刘善磊
作者单位:江苏省基础地理信息中心,江苏南京,210013
摘    要:以关键帧作为待拼接图像,为了减少图像间的扭曲和变形,保证图像整体关系的正确性,减少误差的累积传播,得到最佳的拼接结果,本文采用三种技术来提高图像自动拼接的精度。首先,通过摄像机标定实现关键帧的矫正;其次,采用基于Harris和SURF算法完成特征点的匹配;最后,在特征匹配的基础上进行光束法平差得到高精度的图像参数。实验结果表明,此方法稳定可靠,拼接精度高。

关 键 词:关键帧  图像拼接  特征匹配  光束法平差

Research on an Automatic Image Mosaic Method
GENG Jun,LIU Shan-lei.Research on an Automatic Image Mosaic Method[J].Geomatics & Spatial Information Technology,2015(6):69-71.
Authors:GENG Jun  LIU Shan-lei
Abstract:In order to reduce the distortion and deformation between the images ,with key frames as for stitching images ,ensure the cor-rectness of the overall relationship between images , reduce the accumulation of error propagation , and ensure that the best stitching re-sults, this paper takes three kinds of technology to improve the accuracy of image mosaic automatically .Firstly, achieving the key frames by the camera calibration correction .Secondly , using Harris and SURF to complete the matching based on feature points .Fi-nally, getting high precision parameters on the basis of the feature matching method of bundle adjustment .The results show that the al-gorithm in this paper is stable and reliable , and have high precision of mosaic .
Keywords:key frames  image stitching  feature matching  bundle adjustment
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