本文提出了一个几何结构保持(GES-GSP)的图像拼接方法，旨在解决现有方法在处理大尺度几何结构时的不足。通过基于深度学习的边缘检测提取大尺度几何结构，然后利用三角形采样和几何结构保持项，实现对曲线和直线结构的有效保护，从而在保持图像自然性的同时减少失真。实验表明，GES-GSP在保持几何结构和获得自然拼接结果方面优于其他SOTA方法。
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