自动化学报2024，Vol.50Issue(6)：1129-1142,14.DOI:10.16383/j.aas.c210966
基于单应性扩散约束的二步网格优化视差图像对齐
Parallax Image Alignment With Two-stage Mesh Optimization Based on Homography Diffusion Constraints
摘要
Abstract
At present,the main difficulty in the image alignment with parallax scene is in the areas that cannot find sufficient matching features.We call these areas featureless regions.Cutting-edge research on parallax image alignment neglects modeling of regions without matching features.Indirect methods such as transferring partial ho-mography of regions with matching features to featureless regions or transforming featureless regions to regions with matching features have been popularly used,which,however,do not guarantee satisfactory results.In fact,image regions belonging to the same plane should possess the same homography.In this paper,a two-stage mesh optimiza-tion algorithm,homography diffusion warping(HDW),is designed by homography diffusion.In the first stage,ho-mography coefficients of mesh cells in the image regions with matching features are obtained.Then we propagate these homography coefficients to adjacent cells to form homography diffusion constraints,and perform the second stage optimization of the mesh by enforcing the constraints on the premise of ensuring the simplicity and efficiency of the optimization task.Compared with existing image alignment algorithms,the method proposed in this paper achieves better results on all metrics.关键词
图像对齐/视差场景/网格优化/匹配特征缺失区域Key words
Image alignment/parallax scene/mesh optimization/featureless regions引用本文复制引用
陈殷齐,郑慧诚,严志伟,林峻宇..基于单应性扩散约束的二步网格优化视差图像对齐[J].自动化学报,2024,50(6):1129-1142,14.基金项目
国家自然科学基金(61976231),广东省基础与应用基础研究基金(2019A1515011869),广州市科技计划项目(201803030029)资助 Supported by National Natural Science Foundation of China(61976231),Guangdong Basic and Applied Basic Research Foundation(2019A1515011869),and Science and Technology Program of Guangzhou(201803030029) （61976231）
