吉林大学学报(信息科学版) ›› 2026, Vol. 44 ›› Issue (1): 206-212.

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虚拟现实环境中数字化摄影图像拼接算法设计

赵 月, 薛凯文   

  1. 西北大学现代学院 新媒体艺术学院, 西安 710130
  • 收稿日期:2024-01-08 出版日期:2026-01-31 发布日期:2026-02-04
  • 作者简介:赵月(1991— ), 女, 河北衡水人, 西北大学现代学院讲师, 主要从事摄影与影像编辑等研究, ( Tel) 86-18729902685 (E-mail)yylovef@ 163. com
  • 基金资助:
    陕西省“十四五冶教育科学规划 2021 年度课题基金资助项目(SGH21Y0433) 

Mosaic Algorithm Design of Digital Photography Image in Virtual Reality Environment 

ZHAO Yue, XUE Kaiwen   

  1. College of New Media Arts, Modern College of Northwest University, Xi’an 710130
  • Received:2024-01-08 Online:2026-01-31 Published:2026-02-04

摘要:  在虚拟现实环境中建立图像场景时, 为在保障图像分辨率的前提下提升图像的拼接精度, 针对数字化 摄影图像, 设计了一种新的拼接算法。 在虚拟现实环境中, 首先, 确定待拼接数字化摄影图像的重叠区域, 并 在其中检测特征点; 然后, 通过判断图像尺度空间极值点, 过滤掉重叠区域中不稳定的特征点, 并匹配特征点; 最后, 根据匹配结果, 实现对数字化摄影图像的精准拼接。 实验结果表明, 相比传统算法, 利用该算法拼接 得到的图像信息熵和效果更好。

关键词: 虚拟现实环境, 数字化摄影图像, 图像拼接算法, 重叠区域提取, 图像融合

Abstract:  In order to improve the stitching accuracy of images while ensuring image resolution, a new stitching algorithm is designed for digital photographic images when establishing image scenes in virtual reality environments. In a virtual reality environment, the overlapping area of the digital photography image to be spliced is determined, and the feature points are detected within it. Then, by determining the extreme points in the image scale space, unstable feature points in the overlapping areas are filtered out, and feature points are matched. Finally, based on the matching results, precise stitching of digital photographic images is achieved. According to the experiment, compared to traditional algorithms, using this algorithm to concatenate images results in better information entropy and better stitching effect. 

Key words: virtual reality environment, digital photographic images, image stitching algorithm, extraction of overlapping areas, image fusion

中图分类号: 

  • TP313