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A new algorithm of fast-generated panoramic images

机译:快速生成全景图像的新算法

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摘要

The new algorithm of fast-generated panoramic images this paper puts forward is to extract the feature points of images by the improved SIFT algorithm,and use Euclidean distance combining the K-D tree structure to realize the rapid initial feature matching.Then,based on these initial matching points and the theory of random sampling consistent algorithm,the purification of feature points is realized.At last,the introduction of correction coefficient makes it possible to eliminate fusion ghosts,and HIS space image fusion is applied in order to eliminate the brightness differences.It is verified by the experiments that on the premise of generation of quality guarantee,the new algorithm greatly improves the generation efficiency of panorama images.
机译:本文提出了一种新的快速生成全景图像的算法,即通过改进的SIFT算法提取图像的特征点,并利用欧氏距离结合KD树结构来实现快速的初始特征匹配。最后,引入校正系数使得消除融合重影成为可能,并采用HIS空间图像融合以消除亮度差异。实验证明,该算法在产生质量保证的前提下,大大提高了全景图像的生成效率。

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