Optimization of Parallax Image Projection Based on SIFT

WANG Yang; LIU Jie; YOU Pinhong

doi:10.15938/j.jhust.2020.04.016

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Optimization of Parallax Image Projection Based on SIFT

更新时间：2026-08-31

- Optimization of Parallax Image Projection Based on SIFT
- Vol. 25, Issue 4, Pages: 116-121(2020)
- 作者机构：
  
  1. 国网湖北省电力有限公司,武汉,430077
  2. 哈尔滨理工大学电气与电子工程学院,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：10.15938/j.jhust.2020.04.016
  CLC： TP391
- Published：2020
- 稿件说明：
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WANG Yang, LIU Jie, YOU Pinhong. Optimization of Parallax Image Projection Based on SIFT[J]. 2020, 25(4): 116-121.
DOI：

WANG Yang, LIU Jie, YOU Pinhong. Optimization of Parallax Image Projection Based on SIFT[J]. 2020, 25(4): 116-121. DOI： 10.15938/j.jhust.2020.04.016.

摘要

针对图像视差较大使得图像拼接出现对齐不准以及重影的问题，提出了一种基于尺度不变特征(scalinvariant feature transform，SIFT)的视差图像投影优化算法。首先通过SIFT对图像进行特征点的获取，之后通过随机抽样一致性(random sample consensus，RANSAC)算法对图像进行误匹配点的剔除并对剔除后的特征点进行投影矩阵计算，最后通过渐入渐出算法对图像进行拼接缝消除操作。为了提高图像拼接的准确率，在对图像进行误匹配点剔除之后，本文算法通过计算图像之间的重合区域，对该区域的边界点进行投影后的距离计算，求出最优投影矩阵。实验结果表明，该算法能够有效的减少视差图像的重影以及对齐精度的提高，提高图像拼接的质量。

Abstract

Abstract:In order to solve the problem of misalignment and ghosting in image stitching due to large parallax

this paper proposes a parallax image projection optimization algorithm based on SIFT First

the feature points of the image are acquired through SIFT

and then the mismatched points are removed from the image by the random sampling consistency algorithm

and the projected matrix calculation is performed on the removed feature points. Finally

the image is pieced together by the fade in and fadeout algorithm Seam elimination operation. In order to improve the accuracy of image stitching

after removing the mismatched points in the image

the algorithm in this paper calculates the overlapping area between the images and calculates the distance after the projection of the boundary points of the area to find the optimal projection matrix. Experimental results show that the algorithm can effectively improve the alignment rate of parallax images and improve the quality of image stitching

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