The process of the proposed method. First, we take 4 unordered images as input images and build a binary tree model. Then we obtained all matching image pairs by using estimated overlapping areas and image registration. Finally, we stitch all matching image pairs in binary tree model to get the final panorama.
May 13, 2020 · Experimental results show that the number of extracted feature points in the estimated overlapping area is approximately 0.3~0.6 times of that ...
This paper builds a model of the binary tree to stitch each two matched images without sorting and estimates the overlapping areas between input images so ...
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... binary tree model based on A-KAZE algorithm, the binary tree model based on estimated overlap region and the method in this paper are shown in Table 3 ...
Firstly, we construct the matching index sequence based on the similarity of the matching area. Then we search for image match... Cite.
A curated list of awesome resources for topics related to computational photography via deep learning, which mainly focuses on image alignment and stitching ...
Feb 21, 2023 · The method based on the binary tree model demonstrated obvious stitching lines in the result for the orderly image stitching with scene 1, and ...
An unordered image stitching method based on binary tree and estimated overlapping area. IEEE Trans. Image. Process. (2020). Q. Gao et al. Dual-hand detection ...
For image stitching, we build a binary tree model assisted by the image registration index table, we need to search for matching pairs and carry out ...