华东师范大学学报（自然科学版）Issue(4)：15-27,13.DOI:10.3969/j.issn.1000-5641.2025.04.002
基于匹配点和薄板样条函数模型优化的视差图像拼接
Parallax image mosaic based on matching points and thin plate splines function model optimization
陈洁芳 1黄昶1
作者信息
- 1. 华东师范大学 通信与电子工程学院,上海 200241
- 折叠
摘要
Abstract
To solve the redundancy of matching points and local distortion of image after mosaic in intelligent driving,a parallax image mosaic algorithm based on optimization of matching points and improvement of thin plate spline function model is proposed.First,a sparse matrix is constructed according to the distribution positions of image matching points.Second,the number of mesh constrained matching points is used to eliminate redundant matching points,which reduces the time of calculating thin plate spline function model.Finally,an improved thin plate spline function model is used for image registration.The experimental results indicate that the proposed algorithm eliminates the redundancy of matching points and improves the image distortion problem,which has certain superiority and effectiveness.关键词
智能驾驶/视差图像拼接/改进薄板样条函数模型/稀疏矩阵/匹配点Key words
intelligent driving/parallax image stitching/improved thin plate splines function model/sparse matrix/matching points分类
信息技术与安全科学引用本文复制引用
陈洁芳,黄昶..基于匹配点和薄板样条函数模型优化的视差图像拼接[J].华东师范大学学报（自然科学版）,2025,(4):15-27,13.
