测绘通报 ›› 2025, Vol. 0 ›› Issue (10): 57-62.doi: 10.13474/j.cnki.11-2246.2025.1010

• 学术研究 • 上一篇    下一篇

基于球面全等映射的全景图像匹配

肖尧1,2, 杨雨生1,2, 史航1, 解杨敏1,2   

  1. 1. 上海大学机电工程与自动化学院, 上海 200444;
    2. 上海大学上海市智能制造及机器人 重点实验室, 上海 200444
  • 收稿日期:2025-02-24 发布日期:2025-10-31
  • 通讯作者: 解杨敏。E-mail:xieym@shu.edu.cn
  • 作者简介:肖尧(1999-),男,硕士,主要研究方向为图像特征匹配、SLAM等。E-mail:xiaoyao_dean@shu.edu.cn
  • 基金资助:
    国家自然科学基金青年基金(62303294)

Panoramic image matching based on spherical congruence projection

XIAO Yao1,2, YANG Yusheng1,2, SHI Hang1, XIE Yangmin1,2   

  1. 1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China;
    2. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200444, China
  • Received:2025-02-24 Published:2025-10-31

摘要: 随着广角视觉传感器在多个领域的广泛应用,传统的平面透视相机已逐渐显现出其局限性,特别是在复杂的视觉感知任务中。广角镜头虽能够提供更广阔的视野,但其引入的图像畸变严重影响了图像特征匹配的准确性和可靠性。为解决这一问题,本文提出一种创新的基于球面全等映射的全景图像匹配技术。该技术首先将全景图像基于Scaramuzza相机模型投影成球面全等映射图像,消除原始全景图像在平面结构中不一致畸变的特性;在此基础上,构建相应的球面数据结构,并采用FAST角点提取方案,进一步提出一种适用于球面像素结构的改进rBRIEF算法,并构建相应的特征描述子,实现高精度、高稳健性的全景图像匹配。

关键词: 全景图像, 球面结构, 改进ORB, 像素分割, 球面描述子

Abstract: With the widespread application of wide-angle vision sensors in various fields, traditional perspective cameras have gradually revealed their limitations, especially in complex visual perception tasks.Although wide-angle lenses provide a broader field of view, the introduced image distortion severely affects the accuracy and reliability of feature matching.To address this issue, this study proposes an innovative panoramic image matching technique based on spherical isometric mapping.The technique firstly projects the panoramic image into a spherical isometric mapping image using the scaramuzza camera model, eliminating the inconsistency distortion inherent in panoramic images in a planar structure.On this basis, a corresponding spherical data structure is constructed, and the FAST corner detection method is adopted.Furthermore, an improved rBRIEF algorithm tailored for spherical pixel structures is proposed, along with the construction of corresponding feature descriptors, to achieve high-precision and highly robust panoramic image matching.

Key words: panoramic image, spherical structure, improved ORB, pixel segmentation, spherical descriptor

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