Parallax Image Alignment With Two-stage Mesh Optimization Based on Homography Diffusion Constraints
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.
Image alignmentparallax scenemesh optimizationfeatureless regions
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