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The Improved Algorithm of Fast Panorama Stitching for Image Sequence and Reducing the Distortion Errors

机译：图像序列快速全景拼接的改进算法及减少畸变误差

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摘要

The traditional image stitching result based on the SIFT feature points extraction, to a certain extent, has distortion errors. The panorama, especially, would get more seriously distorted when compositing a panoramic result using a long image sequence. To achieve the goal of creating a high-quality panorama, the improved algorithm is proposed in this paper, including altering the way of selecting the reference image and putting forward a method that can compute the transformation matrix for any image of the sequence to align with the reference image in the same coordinate space. Additionally, the improved stitching method dynamically selects the next input image based on the number of SIFT matching points. Compared with the traditional stitching process, the improved method increases the number of matching feature points and reduces SIFT feature detection area of the reference image. The experimental results show that the improved method can not only accelerate the efficiency of image stitching processing, but also reduce the panoramic distortion errors, and finally we can obtain a pleasing panoramic result.
机译：基于SIFT特征点提取的传统图像拼接结果在一定程度上存在畸变误差。特别是在使用长图像序列合成全景结果时，全景会变得更加严重。为了达到创建高质量全景图的目的，本文提出了一种改进的算法，包括改变参考图像的选择方式，并提出一种可以为序列中要匹配的任何图像计算变换矩阵的方法。同一坐标空间中的参考图像。另外，改进的拼接方法根据SIFT匹配点的数量动态选择下一个输入图像。与传统的拼接方法相比，改进后的方法增加了匹配特征点的数量，减小了参考图像的SIFT特征检测面积。实验结果表明，改进后的方法不仅可以提高图像拼接处理的效率，而且可以减少全景失真的误差，最终可以得到令人满意的全景效果。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第18期|428076.1-428076.12|共12页
  • 作者

    Qu Zhong; Lin Si-Peng; Ju Fang-Rong; Liu Ling;

  • 作者单位

    Chongqing Univ Posts & Telecommun, Chongqing 400065, Peoples R China.;

    Chongqing Univ Posts & Telecommun, Chongqing 400065, Peoples R China.;

    Chongqing Univ Posts & Telecommun, Chongqing 400065, Peoples R China.;

    Chongqing Univ Posts & Telecommun, Coll Mobile Telecommun, Chongqing 401520, Peoples R China.;

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