Panoramic image patching algorithm based on global optimization

被引：0
作者：
Gong, Yan [1 ]
Xie, Hong [1 ]
Xie, Wu [1 ]
机构：
[1] Information and Communication Engineering, Harbin Engineering University, Harbin
来源：
Journal of Information and Computational Science | 2015年 / 12卷 / 14期
关键词：
Global optimization; Panoramic image stitching; Time and space domain patch;
D O I：
10.12733/jics20150019
中图分类号：
学科分类号：
摘要：
Considering the process of panoramic image stitching, there are problems such as loss of image information, redundant objects, scene repeated, etc. In this paper, we propose the space-time domain patching algorithm based on global optimization of panoramic image stitching. It uses the SFM algorithm to get the correspondence position relation between the target area and the reference area. And the visual consistency of the image patches is improved by constructing the MRF global optimization model. By increasing the reference sample search, to improve the robustness of the algorithm; by rationally defining the label set and setting up the energy consumption function, the time and space domain patch are organically unified for the same process. Through the experiment, the proposed algorithm can modify the existing panoramic stitching images, optimize and realize the natural transition, achieve good visual effect and strong robustness. Copyright © 2015 Binary Information Press.
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页码：5523 / 5530
页数：7
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