Computer Science ›› 2016, Vol. 43 ›› Issue (5): 279-282.doi: 10.11896/j.issn.1002-137X.2016.05.053

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Improved Algorithm of Fast Image Stitching by Reducing Panoramic Distortion

QU Zhong, LIN Si-peng and JU Fang-rong   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The traditional image stitching based on the SIFT feature points extraction,to a certain extent,has distortion errors.Especially,the panorama will get more seriously distorted when a panoramic result is composited by using a long image sequence.In order to create a high-quality panorama,the improved algorithm was proposed in this paper,including altering the way of selecting the reference image,and we put 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 Song Fuhua’s stitching process,the improved methodincreases 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 improve the efficiency of image stitching processing,but also reduce the panoramic distortion errors.

Key words: SIFT feature,Image registration,Image stitching,Panoramic distortion

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